David Khachaturov

12 papers A* 2Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Controllable and explainable personality sliders for LLMs at inference time. CoRR Florian Hoppe, David Khachaturov, Robert Mullins, Mark Huasong Meng
2025	J	`jnl`	"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models. CoRR Isha Gupta, David Khachaturov, Robert Mullins
2025	J	`jnl`	Adversarial Suffix Filtering: a Defense Pipeline for LLMs. CoRR David Khachaturov, Robert Mullins
2025	J	`jnl`	Governments Should Mandate Tiered Anonymity on Social-Media Platforms to Counter Deepfakes and LLM-Driven Mass Misinformation. CoRR David Khachaturov, Roxanne Schnyder, Robert Mullins
2025	A*	`conf`	Scaling Trends for Data Poisoning in LLMs. AAAI Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, Adam Gleave, Kellin Pelrine
2025	J	`jnl`	Watermarking Needs Input Repetition Masking. CoRR David Khachaturov, Robert Mullins, Ilia Shumailov, Sumanth Dathathri
2024	J	`jnl`	Complexity Matters: Effective Dimensionality as a Measure for Adversarial Robustness. CoRR David Khachaturov, Robert Mullins
2024	J	`jnl`	QBI: Quantile-based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning. CoRR Micha V. Nowak, Tim P. Bott, David Khachaturov, Frank Puppe, Adrian Krenzer, Amar Hekalo
2024	J	`jnl`	Scaling Laws for Data Poisoning in LLMs. CoRR Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, Adam Gleave, Kellin Pelrine
2023	J	`jnl`	Human-Producible Adversarial Examples. CoRR David Khachaturov, Yue Gao, Ilia Shumailov, Robert Mullins, Ross J. Anderson, Kassem Fawaz
2021	A*	`conf`	Markpainting: Adversarial Machine Learning meets Inpainting. ICML David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross J. Anderson
2021	J	`jnl`	Markpainting: Adversarial Machine Learning meets Inpainting. CoRR David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross J. Anderson