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Robert D. Mullins
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- affiliation: University of Cambridge, UK
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2020 – today
- 2024
- [c34]Eleanor Clifford, Ilia Shumailov, Yiren Zhao, Ross J. Anderson, Robert D. Mullins:
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks. SaTML 2024: 344-357 - [i37]Harry Langford, Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Nicolas Papernot:
Architectural Neural Backdoors from First Principles. CoRR abs/2402.06957 (2024) - [i36]Eleanor Clifford, Adhithya Saravanan, Harry Langford, Cheng Zhang, Yiren Zhao, Robert D. Mullins, Ilia Shumailov, Jamie Hayes:
Locking Machine Learning Models into Hardware. CoRR abs/2405.20990 (2024) - [i35]Hanna Foerster, Robert D. Mullins, Ilia Shumailov, Jamie Hayes:
Beyond Slow Signs in High-fidelity Model Extraction. CoRR abs/2406.10011 (2024) - [i34]Zixi Zhang, Cheng Zhang, Xitong Gao, Robert D. Mullins, George A. Constantinides, Yiren Zhao:
Unlocking the Global Synergies in Low-Rank Adapters. CoRR abs/2406.14956 (2024) - [i33]Yuang Chen, Cheng Zhang, Xitong Gao, Robert D. Mullins, George A. Constantinides, Yiren Zhao:
Optimised Grouped-Query Attention Mechanism for Transformers. CoRR abs/2406.14963 (2024) - 2023
- [c33]Yulin Zhou, Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Yarin Gal:
Revisiting Automated Prompting: Are We Actually Doing Better? ACL (2) 2023: 1822-1832 - [c32]Yiren Zhao, Oluwatomisin Dada, Robert D. Mullins, Xitong Gao:
Revisiting Structured Dropout. ACML 2023: 1699-1714 - [c31]Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Nicolas Papernot:
Architectural Backdoors in Neural Networks. CVPR 2023: 24595-24604 - [c30]Guo Yang, Daniel Lo, Robert D. Mullins, Yiren Zhao:
Dynamic Stashing Quantization for Efficient Transformer Training. EMNLP (Findings) 2023: 7329-7336 - [i32]Guo Yang, Daniel Lo, Robert D. Mullins, Yiren Zhao:
Dynamic Stashing Quantization for Efficient Transformer Training. CoRR abs/2303.05295 (2023) - [i31]Yulin Zhou, Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Yarin Gal:
Revisiting Automated Prompting: Are We Actually Doing Better? CoRR abs/2304.03609 (2023) - [i30]David Khachaturov, Yue Gao, Ilia Shumailov, Robert D. Mullins, Ross J. Anderson, Kassem Fawaz:
Human-Producible Adversarial Examples. CoRR abs/2310.00438 (2023) - [i29]Zixi Zhang, Greg Chadwick, Hugo McNally, Yiren Zhao, Robert D. Mullins:
LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation. CoRR abs/2310.04535 (2023) - 2022
- [j9]Roy Spliet
, Robert D. Mullins
Sim-D: A SIMD Accelerator for Hard Real-Time Systems. IEEE Trans. Computers 71(4): 851-865 (2022) - [c29]Robert Hönig, Yiren Zhao, Robert D. Mullins:
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning. ICML 2022: 8852-8866 - [c28]Yousun Ko, Alex Bradbury, Bernd Burgstaller, Robert D. Mullins:
Trace-and-brace (TAB): bespoke software countermeasures against soft errors. LCTES 2022: 73-85 - [c27]Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins:
Rapid Model Architecture Adaption for Meta-Learning. NeurIPS 2022 - [i28]Duo Wang, Yiren Zhao, Ilia Shumailov, Robert D. Mullins:
Model Architecture Adaption for Bayesian Neural Networks. CoRR abs/2202.04392 (2022) - [i27]Xuan Guo, Daniel Bates, Robert D. Mullins, Alex Bradbury:
Muntjac - Open Source Multicore RV64 Linux-capable SoC. CoRR abs/2206.06769 (2022) - [i26]Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Nicolas Papernot:
Architectural Backdoors in Neural Networks. CoRR abs/2206.07840 (2022) - [i25]Maximilian Kaufmann, Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Nicolas Papernot:
Efficient Adversarial Training With Data Pruning. CoRR abs/2207.00694 (2022) - [i24]Skye Purchase, Aaron Zhao, Robert D. Mullins:
Revisiting Embeddings for Graph Neural Networks. CoRR abs/2209.09338 (2022) - [i23]Joseph Rance, Yiren Zhao, Ilia Shumailov, Robert D. Mullins:
Augmentation Backdoors. CoRR abs/2209.15139 (2022) - [i22]Tim Clifford
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks. CoRR abs/2210.00108 (2022) - [i21]Jason Ross Brown, Yiren Zhao, Ilia Shumailov, Robert D. Mullins:
Wide Attention Is The Way Forward For Transformers. CoRR abs/2210.00640 (2022) - [i20]Jason Ross Brown, Yiren Zhao, Ilia Shumailov, Robert D. Mullins:
DARTFormer: Finding The Best Type Of Attention. CoRR abs/2210.00641 (2022) - [i19]Yiren Zhao, Oluwatomisin Dada, Xitong Gao
Revisiting Structured Dropout. CoRR abs/2210.02570 (2022) - 2021
- [j8]Yousun Ko, Alexandra W. Chadwick
Lane Compression: A Lightweight Lossless Compression Method for Machine Learning on Embedded Systems. ACM Trans. Embed. Comput. Syst. 20(2): 16:1-16:26 (2021) - [c26]Ilia Shumailov, Yiren Zhao, Daniel Bates, Nicolas Papernot, Robert D. Mullins, Ross Anderson:
Sponge Examples: Energy-Latency Attacks on Neural Networks. EuroS&P 2021: 212-231 - [i18]Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins:
Rapid Model Architecture Adaption for Meta-Learning. CoRR abs/2109.04925 (2021) - [i17]Robert Hönig, Yiren Zhao, Robert D. Mullins:
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning. CoRR abs/2111.00465 (2021) - 2020
- [j7]Philip James Basford
Performance analysis of single board computer clusters. Future Gener. Comput. Syst. 102: 278-291 (2020) - [c25]Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Ross J. Anderson:
Towards Certifiable Adversarial Sample Detection. AISec@CCS 2020: 13-24 - [c24]Yiren Zhao, Ilia Shumailov, Han Cui
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information. DSN Workshops 2020: 16-24 - [i16]Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Ross J. Anderson:
Towards Certifiable Adversarial Sample Detection. CoRR abs/2002.08740 (2020) - [i15]Yiren Zhao, Duo Wang, Xitong Gao, Robert D. Mullins, Pietro Liò, Mateja Jamnik:
Probabilistic Dual Network Architecture Search on Graphs. CoRR abs/2003.09676 (2020) - [i14]Xuan Guo, Robert D. Mullins:
Accelerate Cycle-Level Full-System Simulation of Multi-Core RISC-V Systems with Binary Translation. CoRR abs/2005.11357 (2020) - [i13]Ilia Shumailov, Yiren Zhao, Daniel Bates, Nicolas Papernot, Robert D. Mullins, Ross J. Anderson:
Sponge Examples: Energy-Latency Attacks on Neural Networks. CoRR abs/2006.03463 (2020) - [i12]Yiren Zhao, Duo Wang, Daniel Bates, Robert D. Mullins, Mateja Jamnik, Pietro Liò:
Learned Low Precision Graph Neural Networks. CoRR abs/2009.09232 (2020) - [i11]Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Ross J. Anderson:
Nudge Attacks on Point-Cloud DNNs. CoRR abs/2011.11637 (2020)
2010 – 2019
- 2019
- [c23]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: 1-5 - [c22]Yiren Zhao, Xitong Gao
Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs. FPT 2019: 45-53 - [c21]Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu:
Dynamic Channel Pruning: Feature Boosting and Suppression. ICLR (Poster) 2019 - [c20]Milos Nikolic, Mostafa Mahmoud, Andreas Moshovos, Yiren Zhao, Robert D. Mullins:
Characterizing Sources of Ineffectual Computations in Deep Learning Networks. ISPASS 2019: 165-176 - [c19]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. SysML 2019 - [c18]Yiren Zhao, Xitong Gao, Daniel Bates, Robert D. Mullins, Cheng-Zhong Xu:
Focused Quantization for Sparse CNNs. NeurIPS 2019: 5585-5594 - [i10]Ilia Shumailov, Xitong Gao, Yiren Zhao, Robert D. Mullins, Ross Anderson, Cheng-Zhong Xu:
Sitatapatra: Blocking the Transfer of Adversarial Samples. CoRR abs/1901.08121 (2019) - [i9]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 abs/1903.01521 (2019) - [i8]Yiren Zhao, Xitong Gao, Daniel Bates
Efficient and Effective Quantization for Sparse DNNs. CoRR abs/1903.03046 (2019) - [i7]Xuan Guo, Robert D. Mullins:
Fast TLB Simulation for RISC-V Systems. CoRR abs/1905.06825 (2019) - [i6]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 abs/1909.02918 (2019) - [i5]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 abs/1910.10075 (2019) - 2018
- [j6]Partha Maji
On the Reduction of Computational Complexity of Deep Convolutional Neural Networks. Entropy 20(4): 305 (2018) - [j5]Steven J. Johnston
Commodity single board computer clusters and their applications. Future Gener. Comput. Syst. 89: 201-212 (2018) - [c17]Yiren Zhao, Xitong Gao
Mayo: A Framework for Auto-generating Hardware Friendly Deep Neural Networks. EMDL@MobiSys 2018: 25-30 - [c16]Jeremy Singer
Next generation single board clusters. NOMS 2018: 1-3 - [i4]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 abs/1810.00208 (2018) - [i3]Xitong Gao, Yiren Zhao, Lukasz Dudziak, Robert D. Mullins, Cheng-Zhong Xu:
Dynamic Channel Pruning: Feature Boosting and Suppression. CoRR abs/1810.05331 (2018) - [i2]Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Ross Anderson:
The Taboo Trap: Behavioural Detection of Adversarial Samples. CoRR abs/1811.07375 (2018) - 2017
- [c15]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: 21-29 - [c14]Partha Maji, Daniel Bates
ADaPT: optimizing CNN inference on IoT and mobile devices using approximately separable 1-D kernels. IML 2017: 43:1-43:12 - 2016
- [c13]Niall Murphy, Timothy M. Jones
Performance implications of transient loop-carried data dependences in automatically parallelized loops. CC 2016: 23-33 - [i1]Daniel Bates
Configurable memory systems for embedded many-core processors. CoRR abs/1601.00894 (2016) - 2015
- [j4]Daniel Bates
Exploiting Tightly-Coupled Cores. J. Signal Process. Syst. 80(1): 103-120 (2015) - 2013
- [j3]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): 914-928 (2013) - [c12]Daniel Bates
Exploiting tightly-coupled cores. ICSAMOS 2013: 296-305
2000 – 2009
- 2009
- [j2]Arnab Banerjee, Pascal T. Wolkotte, Robert D. Mullins, Simon W. Moore
An Energy and Performance Exploration of Network-on-Chip Architectures. IEEE Trans. Very Large Scale Integr. Syst. 17(3): 319-329 (2009) - 2008
- [c11]Rosemary M. Francis, Simon W. Moore, Robert D. Mullins:
A Network of Time-Division Multiplexed Wiring for FPGAs. NOCS 2008: 35-44 - 2007
- [c10]Robert D. Mullins, Simon W. Moore:
Demystifying Data-Driven and Pausible Clocking Schemes. ASYNC 2007: 175-185 - [c9]Arnab Banerjee, Robert D. Mullins, Simon W. Moore:
A Power and Energy Exploration of Network-on-Chip Architectures. NOCS 2007: 163-172 - 2006
- [c8]Robert D. Mullins, Andrew West, Simon W. Moore:
The design and implementation of a low-latency on-chip network. ASP-DAC 2006: 164-169 - 2004
- [c7]Robert D. Mullins, Andrew West, Simon W. Moore:
Low-Latency Virtual-Channel Routers for On-Chip Networks. ISCA 2004: 188-197 - 2003
- [j1]Simon W. Moore
Balanced self-checking asynchronous logic for smart card applications. Microprocess. Microsystems 27(9): 421-430 (2003) - [c6]Jacques J. A. Fournier, Simon W. Moore, Huiyun Li, Robert D. Mullins, George S. Taylor:
Security Evaluation of Asynchronous Circuits. CHES 2003: 137-151 - 2002
- [c5]George S. Taylor, Simon W. Moore, Robert D. Mullins, Peter Robinson:
Point to Point GALS Interconnect. ASYNC 2002: 69-75 - [c4]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: 211-218 - 2000
- [c3]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: 73-78
1990 – 1999
- 1999
- [c2]D. K. Arvind, Robert D. Mullins:
A Fully Asynchronous Superscalar Architecture. IEEE PACT 1999: 17-22 - 1995
- [c1]D. K. Arvind, Robert D. Mullins, Vinod E. F. Rebello:
Micronets: a model for decentralising control in asynchronous processor architectures. ASYNC 1995: 190-199
Coauthor Index
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