David Khachaturov

According to our database, David Khachaturov authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Governments Should Mandate Tiered Anonymity on Social-Media Platforms to Counter Deepfakes and LLM-Driven Mass Misinformation.

David Khachaturov, Roxanne Schnyder, Robert D. Mullins

CoRR, June, 2025

Adversarial Suffix Filtering: a Defense Pipeline for LLMs.

David Khachaturov, Robert D. Mullins

CoRR, May, 2025

Watermarking Needs Input Repetition Masking.

David Khachaturov, Robert D. Mullins, Ilia Shumailov, Sumanth Dathathri

CoRR, April, 2025

"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models.

Isha Gupta, David Khachaturov, Robert D. Mullins

CoRR, February, 2025

Scaling Trends for Data Poisoning in LLMs.

Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, Adam Gleave, Kellin Pelrine

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Complexity Matters: Effective Dimensionality as a Measure for Adversarial Robustness.

David Khachaturov, Robert D. Mullins

CoRR, 2024

Scaling Laws for Data Poisoning in LLMs.

Dillon Bowen, Brendan Murphy, Will Cai, David Khachaturov, Adam Gleave, Kellin Pelrine

CoRR, 2024

QBI: Quantile-based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning.

Micha V. Nowak, Tim P. Bott, David Khachaturov, Frank Puppe, Adrian Krenzer, Amar Hekalo

CoRR, 2024

2023

Human-Producible Adversarial Examples.

David Khachaturov, Yue Gao, Ilia Shumailov, Robert D. Mullins, Ross J. Anderson, Kassem Fawaz

CoRR, 2023

2021

Markpainting: Adversarial Machine Learning meets Inpainting.

David Khachaturov, Ilia Shumailov, Yiren Zhao, Nicolas Papernot, Ross J. Anderson

Proceedings of the 38th International Conference on Machine Learning, 2021