Muhammad Abdullah Hanif

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 125

Top Venues

Publications

Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation. IEEE Access 12 (2024)
Abdul Basit, Khizar Hussain, Muhammad Abdullah Hanif, Muhammad Shafique
MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices. CoRR (2024)
Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Bassem Ouni, Muhammad Shafique
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. CoRR (2024)
Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique
Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather. CoRR (2024)
Nishant Suresh Aswani, Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique
Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition. CoRR (2024)
Muhammad Abdullah Hanif, Muhammad Shafique
eFAT: Improving the Effectiveness of Fault-Aware Training for Mitigating Permanent Faults in DNN Hardware Accelerators. CoRR (2023)
Muhammad Abdullah Hanif, Muhammad Shafique
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. IJCNN (2023)
Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens. CoRR (2023)
Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. IEEE Access 11 (2023)
Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique
DAEM: A Data- and Application-Aware Error Analysis Methodology for Approximate Adders. Inf. 14 (10) (2023)
Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications. CoRR (2023)
Jorge Castro-Godínez, Muhammad Abdullah Hanif, Muhammad Shafique
Cross-Layer Approximations for System-Level Optimizations: Challenges and Opportunities. DSN-W (2023)
Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems. CoRR (2023)
Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation. CoRR (2023)
Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems. CoRR (2023)
Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction. CoRR (2023)
Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique
DAP: A Dynamic Adversarial Patch for Evading Person Detectors. CoRR (2023)
Muhammad Abdullah Hanif, Muhammad Shafique
Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. DATE (2023)
Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques. CoRR (2023)
Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif, Muhammad Shafique
Design and Analysis of High Performance Heterogeneous Block-based Approximate Adders. ACM Trans. Embed. Comput. Syst. 22 (6) (2023)
Ebrahim Farahmand, Ali Mahani, Behnam Ghavami, Muhammad Abdullah Hanif, Muhammad Shafique
scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation. CoRR (2023)
Muhammad Abdullah Hanif, Muhammad Shafique
Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. CoRR (2023)
Muhammad Abdullah Hanif, Muhammad Shafique
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. CoRR (2023)
Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique
Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. IJCNN (2023)
Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults. CoRR (2023)
Kamila Zaman, Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead. CoRR (2023)
Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu
$\tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems. IEEE Trans. Computers 72 (10) (2023)
Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu
PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems. CoRR (2023)
Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. CoRR (2023)
Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammed Shafique
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. CoRR (2023)
Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique
AdvRain: Adversarial Raindrops to Attack Camera-Based Smart Vision Systems. Inf. 14 (12) (2023)
Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation. CoRR (2023)
Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
SeVuc: A study on the Security Vulnerabilities of Capsule Networks against adversarial attacks. Microprocess. Microsystems 96 (2023)
Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
SoftSNN: low-cost fault tolerance for spiking neural network accelerators under soft errors. DAC (2022)
Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. J. Intell. Robotic Syst. 105 (1) (2022)
Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. CoRR (2022)
Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. CoRR (2022)
Muhammad Abdullah Hanif, Muhammad Shafique
A cross-layer approach towards developing efficient embedded Deep Learning systems. Microprocess. Microsystems 88 (2022)
Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu
GNNUnlock+: A Systematic Methodology for Designing Graph Neural Networks-Based Oracle-Less Unlocking Schemes for Provably Secure Logic Locking. IEEE Trans. Emerg. Top. Comput. 10 (3) (2022)
Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft Errors. CoRR (2022)
Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. IJCNN (2022)
Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. VTS (2022)
Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. ICCAD (2021)
Faiq Khalid, Muhammad Abdullah Hanif, Muhammad Shafique
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks. CoRR (2021)
Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif, Muhammad Shafique
High Performance and Optimal Configuration of Accurate Heterogeneous Block-Based Approximate Adder. CoRR (2021)
Dilshad Sabir, Muhammad Abdullah Hanif, Ali Hassan, Saad Rehman, Muhammad Shafique
TiQSA: Workload Minimization in Convolutional Neural Networks Using Tile Quantization and Symmetry Approximation. IEEE Access 9 (2021)
Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique
FEECA: Design Space Exploration for Low-Latency and Energy-Efficient Capsule Network Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29 (4) (2021)
Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. CoRR (2021)
Nivedita Shrivastava, Muhammad Abdullah Hanif, Sparsh Mittal, Smruti Ranjan Sarangi, Muhammad Shafique
A survey of hardware architectures for generative adversarial networks. J. Syst. Archit. 118 (2021)
Oliver Bringmann, Wolfgang Ecker, Ingo Feldner, Adrian Frischknecht, Christoph Gerum, Timo Hämäläinen, Muhammad Abdullah Hanif, Michael J. Klaiber, Daniel Mueller-Gritschneder, Paul Palomero Bernardo, Sebastian Siegfried Prebeck, Muhammad Shafique
Automated HW/SW co-design for edge AI: state, challenges and steps ahead. CODES+ISSS (2021)
Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework. CoRR (2021)
Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. CoRR (2021)
Muhammad Abdullah Hanif, Muhammad Shafique
DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. DATE (2021)
Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29 (4) (2021)
Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. CoRR (2021)
Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. DAC (2021)
Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (9) (2021)
Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. ICCAD (2021)
Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique
TRe-Map: Towards Reducing the Overheads of Fault-Aware Retraining of Deep Neural Networks by Merging Fault Maps. DSD (2021)
Alberto Bosio, Ian O'Connor, Marcello Traiola, Jorge Echavarria, Jürgen Teich, Muhammad Abdullah Hanif, Muhammad Shafique, Said Hamdioui, Bastien Deveautour, Patrick Girard, Arnaud Virazel, Koen Bertels
. ETS (2021)
Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. ICCAD (2021)
Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. CoRR (2021)
Muhammad Abdullah Hanif, Muhammad Shafique
DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. CoRR (2021)
Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. DATE (2021)
Hazoor Ahmad, Tabasher Arif, Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique
SuperSlash: A Unified Design Space Exploration and Model Compression Methodology for Design of Deep Learning Accelerators With Reduced Off-Chip Memory Access Volume. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Muhammad Abdullah Hanif, Muhammad Shafique
Dependable Deep Learning: Towards Cost-Efficient Resilience of Deep Neural Network Accelerators against Soft Errors and Permanent Faults. IOLTS (2020)
Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. CoRR (2020)
Hassan Ali, Faiq Khalid, Hammad Tariq, Muhammad Abdullah Hanif, Rehan Ahmed, Semeen Rehman
SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters. IEEE Des. Test 37 (2) (2020)
Muhammad Abdullah Hanif, Aditya Manglik, Muhammad Shafique
Resistive Crossbar-Aware Neural Network Design and Optimization. IEEE Access 8 (2020)
Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique
FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. DATE (2020)
Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan, Muhammad Shafique
PEMACx: A Probabilistic Error Analysis Methodology for Adders with Cascaded Approximate Units. DAC (2020)
Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. CoRR (2020)
Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. DATE (2020)
Paniti Achararit, Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Shafique, Yuko Hara-Azumi
APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators. IEEE Access 8 (2020)
Muhammad Abdullah Hanif, Le Ha Hoang, Muhammad Shafique
Cross-layer approaches for improving the dependability of deep learning systems. SCOPES (2020)
Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. CoRR (2020)
Muhammad Kamran Ayub, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique
PEAL: Probabilistic Error Analysis Methodology for Low-power Approximate Adders. ACM J. Emerg. Technol. Comput. Syst. 17 (1) (2020)
Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. DAC (2020)
Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. IJCNN (2020)
Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique
ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. DATE (2020)
Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique
FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. IJCNN (2020)
Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique
FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. IJCNN (2020)
Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks. CoRR (2019)
Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique
RED-Attack: Resource Efficient Decision based Attack for Machine Learning. CoRR (2019)
Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Abdullah Hanif, Muhammad Shafique
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. CoRR (2019)
Vojtech Mrazek, Muhammad Abdullah Hanif, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique
autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. DAC (2019)
Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique, Siddharth Garg
Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. DAC (2019)
Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique
CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. DATE (2019)
Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique
FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. CoRR (2019)
Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Abdullah Hanif, Muhammad Shafique
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. ICCAD (2019)
Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. DATE (2019)
Alberto Marchisio, Muhammad Abdullah Hanif, Faiq Khalid, George Plastiras, Christos Kyrkou, Theocharis Theocharides, Muhammad Shafique
Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges. ISVLSI (2019)
Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique
X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations. CoRR (2019)
Vojtech Mrazek, Muhammad Abdullah Hanif, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique
autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. CoRR (2019)
Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique
ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. CoRR (2019)
Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples? CoRR (2019)
Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks. IOLTS (2019)
Muhammad Abdullah Hanif, Faiq Khalid, Muhammad Shafique
CANN: Curable Approximations for High-Performance Deep Neural Network Accelerators. DAC (2019)
Faiq Khalid, Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. IOLTS (2019)
Muhammad Abdullah Hanif, Muhammad Zuhaib Akbar, Rehan Ahmed, Semeen Rehman, Axel Jantsch, Muhammad Shafique
MemGANs: Memory Management for Energy-Efficient Acceleration of Complex Computations in Hardware Architectures for Generative Adversarial Networks. ISLPED (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Muhammad Abdullah Hanif