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2020 – today
- 2025
[c2]Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, Adam Gleave, Kellin Pelrine:
Scaling Trends for Data Poisoning in LLMs. AAAI 2025: 27206-27214- [i9]Isha Gupta, David Khachaturov, Robert D. Mullins:
"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models. CoRR abs/2502.00718 (2025) - [i8]David Khachaturov, Robert D. Mullins, Ilia Shumailov, Sumanth Dathathri:
Watermarking Needs Input Repetition Masking. CoRR abs/2504.12229 (2025) - [i7]David Khachaturov, Robert D. Mullins:
Adversarial Suffix Filtering: a Defense Pipeline for LLMs. CoRR abs/2505.09602 (2025) - [i6]David Khachaturov, Roxanne Schnyder, Robert D. Mullins:
Governments Should Mandate Tiered Anonymity on Social-Media Platforms to Counter Deepfakes and LLM-Driven Mass Misinformation. CoRR abs/2506.12814 (2025) - 2024
- [i5]Micha V. Nowak, Tim P. Bott, David Khachaturov, Frank Puppe, Adrian Krenzer, Amar Hekalo:
QBI: Quantile-based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning. CoRR abs/2406.18745 (2024) - [i4]Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, Adam Gleave, Kellin Pelrine:
Scaling Laws for Data Poisoning in LLMs. CoRR abs/2408.02946 (2024) - [i3]David Khachaturov, Robert D. Mullins
:
Complexity Matters: Effective Dimensionality as a Measure for Adversarial Robustness. CoRR abs/2410.18556 (2024) - 2023
- [i2]David Khachaturov, Yue Gao, Ilia Shumailov, Robert D. Mullins, Ross J. Anderson, Kassem Fawaz:
Human-Producible Adversarial Examples. CoRR abs/2310.00438 (2023) - 2021
- [c1]David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross J. Anderson:
Markpainting: Adversarial Machine Learning meets Inpainting. ICML 2021: 5409-5419 - [i1]David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross J. Anderson:
Markpainting: Adversarial Machine Learning meets Inpainting. CoRR abs/2106.00660 (2021)
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