Faiq Khalid

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 63

Top Topics

Noise Tolerance

Machine Learning

Formal Analysis

Top Venues

Publications

Tolulope A. Odetola, Adewale Adeyemo, Faiq Khalid, Syed Rafay Hasan
FM-ModComp: Feature Map Modification and Hardware-Software Co-Comparison for secure hardware accelerator-based CNN inference. Microprocess. Microsystems 100 (2023)
Enahoro Oriero, Faiq Khalid, Syed Rafay Hasan
DeMiST: Detection and Mitigation of Stealthy Analog Hardware Trojans. CoRR (2023)
Mahya Morid Ahmadi, Faiq Khalid, Radha Vaidya, Florian Kriebel, Andreas Steininger, Muhammad Shafique
SHIELD: An Adaptive and Lightweight Defense against the Remote Power Side-Channel Attacks on Multi-tenant FPGAs. CoRR (2023)
Adewale Adeyemo, Jonathan J. Sanderson, Tolulope A. Odetola, Faiq Khalid, Syed Rafay Hasan
StAIn: Stealthy Avenues of Attacks on Horizontally Collaborated Convolutional Neural Network Inference and Their Mitigation. IEEE Access 11 (2023)
Enahoro Oriero, Faiq Khalid, Hasan Rafay Syed
DeMiST: Detection and Mitigation of Stealthy Analog Hardware Trojans. HASP@MICRO (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)
Tolulope A. Odetola, Katie M. Groves, Muhammed Yousufuddin, Faiq Khalid, Syed Rafay Hasan
2L-3W: 2-Level 3-Way Hardware-Software Co-verification for the Mapping of Convolutional Neural Network (CNN) onto FPGA Boards. SN Comput. Sci. 3 (1) (2022)
Tolulope A. Odetola, Faiq Khalid, Syed Rafay Hasan
LaBaNI: Layer-based Noise Injection Attack on Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI (2022)
Faiq Khalid, Imran Hafeez Abbassi, Semeen Rehman, Awais Mehmood Kamboh, Osman Hasan, Muhammad Shafique
ForASec: Formal Analysis of Hardware Trojan-Based Security Vulnerabilities in Sequential Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (4) (2022)
Faiq Khalid, Muhammad Abdullah Hanif, Muhammad Shafique
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks. CoRR (2021)
Adewale Adeyemo, Faiq Khalid, Tolulope A. Odetola, Syed Rafay Hasan
Security Analysis of Capsule Network Inference using Horizontal Collaboration. CoRR (2021)
Hawzhin Mohammed, Faiq Khalid, Paul Sawyer, Gabriella Cataloni, Syed Rafay Hasan
InTrust-IoT: Intelligent Ecosystem based on Power Profiling of Trusted device(s) in IoT for Hardware Trojan Detection. HASP@MICRO (2021)
Adewale Adeyemo, Faiq Khalid, Tolulope A. Odetola, Syed Rafay Hasan
Security Analysis of Capsule Network Inference using Horizontal Collaboration. MWSCAS (2021)
Tolulope A. Odetola, Faiq Khalid, Hawzhin Mohammed, Travis Sandefur, Syed Rafay Hasan
FeSHI: Feature Map-Based Stealthy Hardware Intrinsic Attack. IEEE Access 9 (2021)
Tolulope A. Odetola, Faiq Khalid, Travis Sandefur, Hawzhin Mohammed, Syed Rafay Hasan
FeSHI: Feature Map Based Stealthy Hardware Intrinsic Attack. CoRR (2021)
Mahya Morid Ahmadi, Faiq Khalid, Muhammad Shafique
Side-Channel Attacks on RISC-V Processors: Current Progress, Challenges, and Opportunities. 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)
Faiq Khalid, Syed Rafay Hasan, Sara Zia, Osman Hasan, Falah Awwad, Muhammad Shafique
MacLeR: Machine Learning-Based Runtime Hardware Trojan Detection in Resource-Constrained IoT Edge Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (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)
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)
Syed Ali Asadullah Bukhari, Faiq Khalid, Osman Hasan, Muhammad Shafique, Jörg Henkel
Toward Model Checking-Driven Fair Comparison of Dynamic Thermal Management Techniques Under Multithreaded Workloads. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (8) (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)
Faiq Khalid, Syed Rafay Hasan, Sara Zia, Osman Hasan, Falah Awwad, Muhammad Shafique
MacLeR: Machine Learning-based Run-Time Hardware Trojan Detection in Resource-Constrained IoT Edge Devices. CoRR (2020)
Faiq Khalid, Syed Rafay Hasan, Osman Hasan, Muhammad Shafique
SIMCom: Statistical sniffing of inter-module communications for runtime hardware trojan detection. Microprocess. Microsystems 77 (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, 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)
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)
Denise Ratasich, Faiq Khalid, Florian Geissler, Radu Grosu, Muhammad Shafique, Ezio Bartocci
A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems. IEEE Access 7 (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)
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)
Faiq Khalid, Syed Rafay Hasan, Osman Hasan, Falah Awwad, Muhammad Shafique
SIMCom: Statistical Sniffing of Inter-Module Communications for Run-time Hardware Trojan Detection. CoRR (2019)
Imran Hafeez Abbassi, Faiq Khalid, Osman Hasan, Awais Mehmood Kamboh
Using gate-level side channel parameters for formally analyzing vulnerabilities in integrated circuits. Sci. Comput. Program. 171 (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)
Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg, Muhammad Shafique
TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. DATE (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)
Muluken Hailesellasie, Jacob Nelson, Faiq Khalid, Syed Rafay Hasan
VAWS: Vulnerability Analysis of Neural Networks using Weight Sensitivity. MWSCAS (2019)
Faiq Khalid, Sunil Nanjiani, Syed Rafay Hasan, Osman Hasan, Falah R. Awwad, Muhammad Shafique
Low Power Digital Clock Multipliers for Battery-Operated Internet of Things (IoT) Devices. ISCAS (2018)
Florian Kriebel, Semeen Rehman, Muhammad Abdullah Hanif, Faiq Khalid, Muhammad Shafique
Robustness for Smart Cyber Physical Systems and Internet-of-Things: From Adaptive Robustness Methods to Reliability and Security for Machine Learning. ISVLSI (2018)
Imran Hafeez Abbassi, Faiq Khalid, Osman Hasan, Awais Mehmood Kamboh, Muhammad Shafique
McSeVIC: A Model Checking Based Framework for Security Vulnerability Analysis of Integrated Circuits. IEEE Access 6 (2018)
Hammad Tariq, Hassan Ali, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique
SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks. CoRR (2018)
Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. CoRR (2018)
Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique
Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference. CoRR (2018)
Hawzhin Mohammed, Jimmy Howell, Syed Rafay Hasan, Nan Guo, Faiq Khalid, Omar S. Elkeelany
Hardware Trojan Based Security Issues in Home Area Network: A Testbed Setup. MWSCAS (2018)
Denise Ratasich, Faiq Khalid, Florian Geissler, Radu Grosu, Muhammad Shafique, Ezio Bartocci
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems. CoRR (2018)
Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. CoRR (2018)
Faiq Khalid, Syed Rafay Hasan, Osman Hasan, Falah R. Awwad
Runtime hardware Trojan monitors through modeling burst mode communication using formal verification. Integr. 61 (2018)
Faiq Khalid, Imran Hafeez Abbassi, Semeen Rehman, Osman Hasan, Muhammad Shafique
ForASec: Formal Analysis of Security Vulnerabilities in Sequential Circuits. CoRR (2018)
Semeen Rehman, Florian Kriebel, Bharath Srinivas Prabakaran, Faiq Khalid, Muhammad Shafique
Hardware and Software Techniques for Heterogeneous Fault-Tolerance. IOLTS (2018)
Muhammad Abdullah Hanif, Faiq Khalid, Rachmad Vidya Wicaksana Putra, Semeen Rehman, Muhammad Shafique
Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks. IOLTS (2018)
Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique
Security for Machine Learning-Based Systems: Attacks and Challenges During Training and Inference. FIT (2018)
Muhammad Shafique, Faiq Khalid, Semeen Rehman
Intelligent Security Measures for Smart Cyber Physical Systems. DSD (2018)
Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg, Muhammad Shafique
TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. CoRR (2018)
Shahid Khan, Faiq Khalid, Osman Hasan, João M. P. Cardoso
Formal verification of a domain specific language for run-time adaptation. SysCon (2018)
Muluken Hailesellasie, Syed Rafay Hasan, Faiq Khalid, Falah Awwad, Muhammad Shafique
FPGA-Based Convolutional Neural Network Architecture with Reduced Parameter Requirements. ISCAS (2018)
Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique
ISA4ML: Training Data-Unaware Imperceptible Security Attacks on Machine Learning Modules of Autonomous Vehicles. CoRR (2018)
Muhammad Shafique, Theocharis Theocharides, Christos-Savvas Bouganis, Muhammad Abdullah Hanif, Faiq Khalid, Rehan Hafiz, Semeen Rehman
An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. DATE (2018)
Faiq Khalid, Syed Rafay Hasan, Osman Hasan, Falah Awwadl
Behavior profiling of power distribution networks for runtime hardware trojan detection. MWSCAS (2017)
Faiq Khalid Lodhi, Imran Hafeez Abbasi, Faiq Khalid, Osman Hasan, Falah R. Awwad, Syed Rafay Hasan
A self-learning framework to detect the intruded integrated circuits. ISCAS (2016)