LLM Censorship: A Machine Learning Challenge or a Computer Security Problem? - David Glukhov; Ilia Shumailov; Yarin Gal; Nicolas Papernot; Vardan Papyan (CoRR, 2023)

Position: Fundamental Limitations of LLM Censorship Necessitate New Approaches. - David Glukhov; Ilia Shumailov; Yarin Gal; Nicolas Papernot; Vardan Papyan (ICML, 2024)

A False Sense of Safety: Unsafe Information Leakage in 'Safe' AI Responses. - David Glukhov; Ziwen Han; Ilia Shumailov; Vardan Papyan; Nicolas Papernot (CoRR, 2024)

Augment then Smooth: Reconciling Differential Privacy with Certified Robustness. - Jiapeng Wu; Atiyeh Ashari Ghomi; David Glukhov; Jesse C. Cresswell; Franziska Boenisch; Nicolas Papernot (Trans. Mach. Learn. Res., 2024)

Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses. - David Glukhov; Ziwen Han; Ilia Shumailov; Vardan Papyan; Nicolas Papernot (ICLR, 2025)

Prεεmpt: Sanitizing Sensitive Prompts for LLMs. - Amrita Roy Chowdhury 001; David Glukhov; Divyam Anshumaan; Prasad Chalasani; Nicolas Papernot; Somesh Jha; Mihir Bellare (CoRR, 2025)