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Publication search results
found 123 matches
- 2024
- Tokuhiro Eto, Harald Garcke, Robert Nürnberg:
A structure-preserving finite element method for the multi-phase Mullins-Sekerka problem with triple junctions. Numerische Mathematik 156(4): 1479-1509 (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: 344-357 - Harry Langford, Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Nicolas Papernot:
Architectural Neural Backdoors from First Principles. CoRR abs/2402.06957 (2024) - 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) - Arduin Findeis, Timo Kaufmann, Eyke Hüllermeier, Samuel Albanie, Robert Mullins:
Inverse Constitutional AI: Compressing Preferences into Principles. CoRR abs/2406.06560 (2024) - Hanna Foerster, Robert D. Mullins, Ilia Shumailov, Jamie Hayes:
Beyond Slow Signs in High-fidelity Model Extraction. CoRR abs/2406.10011 (2024) - 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) - 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
- Robert Mullins:
Two factor-based models of precedential constraint: a comparison and proposal. Artif. Intell. Law 31(4): 703-738 (2023) - Robert Nürnberg:
A structure preserving front tracking finite element method for the Mullins-Sekerka problem. J. Num. Math. 31(2): 137- (2023) - Yulin Zhou, Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Yarin Gal:
Revisiting Automated Prompting: Are We Actually Doing Better? ACL (2) 2023: 1822-1832 - Yiren Zhao, Oluwatomisin Dada, Robert D. Mullins, Xitong Gao:
Revisiting Structured Dropout. ACML 2023: 1699-1714 - Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Nicolas Papernot:
Architectural Backdoors in Neural Networks. CVPR 2023: 24595-24604 - Guo Yang, Daniel Lo, Robert D. Mullins, Yiren Zhao:
Dynamic Stashing Quantization for Efficient Transformer Training. EMNLP (Findings) 2023: 7329-7336 - Guo Yang, Daniel Lo, Robert D. Mullins, Yiren Zhao:
Dynamic Stashing Quantization for Efficient Transformer Training. CoRR abs/2303.05295 (2023) - Yulin Zhou, Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Yarin Gal:
Revisiting Automated Prompting: Are We Actually Doing Better? CoRR abs/2304.03609 (2023) - Tokuhiro Eto, Harald Garcke, Robert Nürnberg:
A structure-preserving finite element method for the multi-phase Mullins-Sekerka problem with triple junctions. CoRR abs/2309.11948 (2023) - David Khachaturov, Yue Gao, Ilia Shumailov, Robert D. Mullins, Ross J. Anderson, Kassem Fawaz:
Human-Producible Adversarial Examples. CoRR abs/2310.00438 (2023) - 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
- Roy Spliet, Robert D. Mullins:
Sim-D: A SIMD Accelerator for Hard Real-Time Systems. IEEE Trans. Computers 71(4): 851-865 (2022) - Robert Hönig, Yiren Zhao, Robert D. Mullins:
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning. ICML 2022: 8852-8866 - Yousun Ko, Alex Bradbury, Bernd Burgstaller, Robert D. Mullins:
Trace-and-brace (TAB): bespoke software countermeasures against soft errors. LCTES 2022: 73-85 - Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolò Fusi, Robert D. Mullins:
Rapid Model Architecture Adaption for Meta-Learning. NeurIPS 2022 - Duo Wang, Yiren Zhao, Ilia Shumailov, Robert D. Mullins:
Model Architecture Adaption for Bayesian Neural Networks. CoRR abs/2202.04392 (2022) - Ashkan Behzadian, Tanner Wambui Muturi, Tianjie Zhang, Hongmin Kim, Amanda Mullins, Yang Lu, Neema Jasika Owor, Yaw Adu-Gyamfi, William G. Buttlar, Hamed Majidifard, Armstrong Aboah, David Mensching, Robert Spragg, Matthew Corrigan, Jack Youtchef, Dave Eshan:
The 1st Data Science for Pavements Challenge. CoRR abs/2206.04874 (2022) - Xuan Guo, Daniel Bates, Robert D. Mullins, Alex Bradbury:
Muntjac - Open Source Multicore RV64 Linux-capable SoC. CoRR abs/2206.06769 (2022) - Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert D. Mullins, Nicolas Papernot:
Architectural Backdoors in Neural Networks. CoRR abs/2206.07840 (2022) - Maximilian Kaufmann, Yiren Zhao, Ilia Shumailov, Robert D. Mullins, Nicolas Papernot:
Efficient Adversarial Training With Data Pruning. CoRR abs/2207.00694 (2022) - Skye Purchase, Aaron Zhao, Robert D. Mullins:
Revisiting Embeddings for Graph Neural Networks. CoRR abs/2209.09338 (2022) - Joseph Rance, Yiren Zhao, Ilia Shumailov, Robert D. Mullins:
Augmentation Backdoors. CoRR abs/2209.15139 (2022)
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