Robert D. Mullins

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 57

Top Topics

Convolution Kernel

Countermeasures

Top Venues

Future Gener. Comput. Syst.

Publications

Eleanor Clifford, Adhithya Saravanan, Harry Langford, Cheng Zhang, Yiren Zhao, Robert D. Mullins, Ilia Shumailov, Jamie Hayes
Locking Machine Learning Models into Hardware. CoRR (2024)
Zixi Zhang, Cheng Zhang, Xitong Gao, Robert D. Mullins, George A. Constantinides, Yiren Zhao
Unlocking the Global Synergies in Low-Rank Adapters. CoRR (2024)
Yuang Chen, Cheng Zhang, Xitong Gao, Robert D. Mullins, George A. Constantinides, Yiren Zhao
Optimised Grouped-Query Attention Mechanism for Transformers. CoRR (2024)
Eleanor Clifford, Ilia Shumailov, Yiren Zhao, Ross J. Anderson, Robert D. Mullins
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks. SaTML (2024)
Hanna Foerster, Robert D. Mullins, Ilia Shumailov, Jamie Hayes
Beyond Slow Signs in High-fidelity Model Extraction. CoRR (2024)
Harry Langford, Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Nicolas Papernot
Architectural Neural Backdoors from First Principles. CoRR (2024)
Zixi Zhang, Greg Chadwick, Hugo McNally, Yiren Zhao, Robert D. Mullins
LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation. CoRR (2023)
Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Nicolas Papernot
Architectural Backdoors in Neural Networks. CVPR (2023)
Yulin Zhou, Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Yarin Gal
Revisiting Automated Prompting: Are We Actually Doing Better? ACL (2) (2023)
Guo Yang, Daniel Lo, Robert D. Mullins, Yiren Zhao
Dynamic Stashing Quantization for Efficient Transformer Training. EMNLP (Findings) (2023)
David Khachaturov, Yue Gao, Ilia Shumailov, Robert D. Mullins, Ross J. Anderson, Kassem Fawaz
Human-Producible Adversarial Examples. CoRR (2023)
Yiren Zhao, Oluwatomisin Dada, Robert D. Mullins, Xitong Gao
Revisiting Structured Dropout. ACML (2023)
Skye Purchase, Aaron Zhao, Robert D. Mullins
Revisiting Embeddings for Graph Neural Networks. CoRR (2022)
Jason Ross Brown, Yiren Zhao, Ilia Shumailov, Robert D. Mullins
DARTFormer: Finding The Best Type Of Attention. CoRR (2022)
Roy Spliet, Robert D. Mullins
Sim-D: A SIMD Accelerator for Hard Real-Time Systems. IEEE Trans. Computers 71 (4) (2022)
Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins
Rapid Model Architecture Adaption for Meta-Learning. NeurIPS (2022)
Yousun Ko, Alex Bradbury, Bernd Burgstaller, Robert D. Mullins
Trace-and-brace (TAB): bespoke software countermeasures against soft errors. LCTES (2022)
Yiren Zhao, Oluwatomisin Dada, Xitong Gao, Robert D. Mullins
Revisiting Structured Dropout. CoRR (2022)
Xuan Guo, Daniel Bates, Robert D. Mullins, Alex Bradbury
Muntjac - Open Source Multicore RV64 Linux-capable SoC. CoRR (2022)
Jason Ross Brown, Yiren Zhao, Ilia Shumailov, Robert D. Mullins
Wide Attention Is The Way Forward For Transformers. CoRR (2022)
Duo Wang, Yiren Zhao, Ilia Shumailov, Robert D. Mullins
Model Architecture Adaption for Bayesian Neural Networks. CoRR (2022)
Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins
Rapid Model Architecture Adaption for Meta-Learning. CoRR (2021)
Ilia Shumailov, Yiren Zhao, Daniel Bates, Nicolas Papernot, Robert D. Mullins, Ross Anderson
Sponge Examples: Energy-Latency Attacks on Neural Networks. EuroS&P (2021)
Robert Hönig, Yiren Zhao, Robert D. Mullins
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning. CoRR (2021)
Yousun Ko, Alex Chadwick, Daniel Bates, Robert D. Mullins
Lane Compression: A Lightweight Lossless Compression Method for Machine Learning on Embedded Systems. ACM Trans. Embed. Comput. Syst. 20 (2) (2021)
Ilia Shumailov, Yiren Zhao, Daniel Bates, Nicolas Papernot, Robert D. Mullins, Ross J. Anderson
Sponge Examples: Energy-Latency Attacks on Neural Networks. CoRR (2020)
Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Ross J. Anderson
Towards Certifiable Adversarial Sample Detection. AISec@CCS (2020)
Philip James Basford, Steven J. Johnston, Colin S. Perkins, Tony Garnock-Jones, Fung Po Tso, Dimitrios Pezaros, Robert D. Mullins, Eiko Yoneki, Jeremy Singer, Simon J. Cox
Performance analysis of single board computer clusters. Future Gener. Comput. Syst. 102 (2020)
Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert D. Mullins, Ross J. Anderson
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information. DSN Workshops (2020)
Xuan Guo, Robert D. Mullins
Accelerate Cycle-Level Full-System Simulation of Multi-Core RISC-V Systems with Binary Translation. CoRR (2020)
Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Ross J. Anderson
Towards Certifiable Adversarial Sample Detection. CoRR (2020)
Yiren Zhao, Duo Wang, Daniel Bates, Robert D. Mullins, Mateja Jamnik, Pietro Liò
Learned Low Precision Graph Neural Networks. CoRR (2020)
Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Ross J. Anderson
Nudge Attacks on Point-Cloud DNNs. CoRR (2020)
Yiren Zhao, Duo Wang, Xitong Gao, Robert D. Mullins, Pietro Liò, Mateja Jamnik
Probabilistic Dual Network Architecture Search on Graphs. CoRR (2020)
Xuan Guo, Robert D. Mullins
Fast TLB Simulation for RISC-V Systems. CoRR (2019)
Yiren Zhao, Xitong Gao, Daniel Bates, Robert D. Mullins, Cheng-Zhong Xu
Focused Quantization for Sparse CNNs. NeurIPS (2019)
Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Ross Anderson
To Compress Or Not To Compress: Understanding The Interactions Between Adversarial Attacks And Neural Network Compression. MLSys (2019)
Yiren Zhao, Ilia Shumailov, Han Cui, Xitong Gao, Robert D. Mullins, Ross J. Anderson
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information. CoRR (2019)
Milos Nikolic, Mostafa Mahmoud, Andreas Moshovos, Yiren Zhao, Robert D. Mullins
Characterizing Sources of Ineffectual Computations in Deep Learning Networks. ISPASS (2019)
Ilia Shumailov, Xitong Gao, Yiren Zhao, Robert D. Mullins, Ross Anderson, Cheng-Zhong Xu
Sitatapatra: Blocking the Transfer of Adversarial Samples. CoRR (2019)
Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert D. Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu
Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs. FPT (2019)
Yiren Zhao, Xitong Gao, Daniel Bates, Robert D. Mullins, Cheng-Zhong Xu
Efficient and Effective Quantization for Sparse DNNs. CoRR (2019)
Partha Maji, Andrew Mundy, Ganesh Dasika, Jesse G. Beu, Matthew Mattina, Robert D. Mullins
Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs. EMC2@HPCA/CVPR/ISCA (2019)
Partha Maji, Andrew Mundy, Ganesh Dasika, Jesse G. Beu, Matthew Mattina, Robert D. Mullins
Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs. CoRR (2019)
Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu
Dynamic Channel Pruning: Feature Boosting and Suppression. ICLR (Poster) (2019)
Yiren Zhao, Xitong Gao, Xuan Guo, Junyi Liu, Erwei Wang, Robert D. Mullins, Peter Y. K. Cheung, George A. Constantinides, Cheng-Zhong Xu
Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs. CoRR (2019)
Jeremy Singer, Herry Herry, Philip James Basford, Wajdi Hajji, Colin S. Perkins, Fung Po Tso, Dimitrios Pezaros, Robert D. Mullins, Eiko Yoneki, Simon J. Cox, Steven J. Johnston
Next generation single board clusters. NOMS (2018)
Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu
Dynamic Channel Pruning: Feature Boosting and Suppression. CoRR (2018)
Yiren Zhao, Xitong Gao, Robert D. Mullins, Chengzhong Xu
Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks. EMDL@MobiSys (2018)
Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Ross Anderson
The Taboo Trap: Behavioural Detection of Adversarial Samples. CoRR (2018)
Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Ross Anderson
To compress or not to compress: Understanding the Interactions between Adversarial Attacks and Neural Network Compression. CoRR (2018)
Steven J. Johnston, Philip James Basford, Colin S. Perkins, Herry Herry, Fung Po Tso, Dimitrios Pezaros, Robert D. Mullins, Eiko Yoneki, Simon J. Cox, Jeremy Singer
Commodity single board computer clusters and their applications. Future Gener. Comput. Syst. 89 (2018)
Partha Maji, Robert D. Mullins
On the Reduction of Computational Complexity of Deep Convolutional Neural Networks. Entropy 20 (4) (2018)
Partha Maji, Daniel Bates, Alex Chadwick, Robert D. Mullins
ADaPT: optimizing CNN inference on IoT and mobile devices using approximately separable 1-D kernels. IML (2017)
Partha Maji, Robert D. Mullins
1D-FALCON: Accelerating Deep Convolutional Neural Network Inference by Co-optimization of Models and Underlying Arithmetic Implementation. ICANN (2) (2017)
Niall Murphy, Timothy M. Jones, Robert D. Mullins, Simone Campanoni
Performance implications of transient loop-carried data dependences in automatically parallelized loops. CC (2016)
Daniel Bates, Alex Chadwick, Robert D. Mullins
Configurable memory systems for embedded many-core processors. CoRR (2016)
Daniel Bates, Alex Bradbury, Andreas Koltes, Robert D. Mullins
Exploiting Tightly-Coupled Cores. J. Signal Process. Syst. 80 (1) (2015)
Daniel Bates, Alex Bradbury, Andreas Koltes, Robert D. Mullins
Exploiting tightly-coupled cores. ICSAMOS (2013)
Christian Fensch, Nick Barrow-Williams, Robert D. Mullins, Simon W. Moore
Designing a Physical Locality Aware Coherence Protocol for Chip-Multiprocessors. IEEE Trans. Computers 62 (5) (2013)
Arnab Banerjee, Pascal T. Wolkotte, Robert D. Mullins, Simon W. Moore, Gerard J. M. Smit
An Energy and Performance Exploration of Network-on-Chip Architectures. IEEE Trans. Very Large Scale Integr. Syst. 17 (3) (2009)
Rosemary M. Francis, Simon W. Moore, Robert D. Mullins
A Network of Time-Division Multiplexed Wiring for FPGAs. NOCS (2008)
Robert D. Mullins, Simon W. Moore
Demystifying Data-Driven and Pausible Clocking Schemes. ASYNC (2007)
Arnab Banerjee, Robert D. Mullins, Simon W. Moore
A Power and Energy Exploration of Network-on-Chip Architectures. NOCS (2007)
Robert D. Mullins, Andrew West, Simon W. Moore
The design and implementation of a low-latency on-chip network. ASP-DAC (2006)
Robert D. Mullins, Andrew West, Simon W. Moore
Low-Latency Virtual-Channel Routers for On-Chip Networks. ISCA (2004)
Simon W. Moore, Ross J. Anderson, Robert D. Mullins, George S. Taylor, Jacques J. A. Fournier
Balanced self-checking asynchronous logic for smart card applications. Microprocess. Microsystems 27 (9) (2003)
Jacques J. A. Fournier, Simon W. Moore, Huiyun Li, Robert D. Mullins, George S. Taylor
Security Evaluation of Asynchronous Circuits. CHES (2003)
George S. Taylor, Simon W. Moore, Robert D. Mullins, Peter Robinson
Point to Point GALS Interconnect. ASYNC (2002)
Simon W. Moore, Robert D. Mullins, Paul A. Cunningham, Ross J. Anderson, George S. Taylor
Improving Smart Card Security Using Self-Timed Circuits. ASYNC (2002)
Simon W. Moore, George S. Taylor, Paul A. Cunningham, Robert D. Mullins, Peter Robinson
Self-Calibrating Clocks for Globally Asynchronous Locally Synchronous Systems. ICCD (2000)
D. K. Arvind, Robert D. Mullins
A Fully Asynchronous Superscalar Architecture. IEEE PACT (1999)
D. K. Arvind, Robert D. Mullins, Vinod E. F. Rebello
Micronets: a model for decentralising control in asynchronous processor architectures. ASYNC (1995)