Stealing the Decoding Algorithms of Language Models. - Ali Naseh; Kalpesh Krishna; Mohit Iyyer; Amir Houmansadr (CCS, 2023)

On the Risks of Stealing the Decoding Algorithms of Language Models. - Ali Naseh; Kalpesh Krishna; Mohit Iyyer; Amir Houmansadr (CoRR, 2023)

Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication. - Ali Naseh; Jaechul Roh; Amir Houmansadr (CoRR, 2023)

Understanding (Un)Intended Memorization in Text-to-Image Generative Models. - Ali Naseh; Jaechul Roh; Amir Houmansadr (CoRR, 2023)

Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images. - Ali Naseh; Katherine Thai; Mohit Iyyer; Amir Houmansadr (CoRR, 2024)

Injecting Bias in Text-To-Image Models via Composite-Trigger Backdoors. - Ali Naseh; Jaechul Roh; Eugene Bagdasaryan; Amir Houmansadr (CoRR, 2024)

Diffence: Fencing Membership Privacy With Diffusion Models. - Yuefeng Peng; Ali Naseh; Amir Houmansadr (NDSS, 2025)

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection. - Ali Naseh; Niloofar Mireshghallah (CoRR, 2025)

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation. - Ali Naseh; Yuefeng Peng; Anshuman Suri; Harsh Chaudhari; Alina Oprea; Amir Houmansadr (CoRR, 2025)

OverThink: Slowdown Attacks on Reasoning LLMs. - Abhinav Kumar; Jaechul Roh; Ali Naseh; Marzena Karpinska; Mohit Iyyer; Amir Houmansadr; Eugene Bagdasarian (CoRR, 2025)

LLM Misalignment via Adversarial RLHF Platforms. - Erfan Entezami; Ali Naseh (CoRR, 2025)

R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model. - Ali Naseh; Harsh Chaudhari; Jaechul Roh; Mingshi Wu; Alina Oprea; Amir Houmansadr (CoRR, 2025)

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models. - Anshuman Suri; Harsh Chaudhari; Yuefeng Peng; Ali Naseh; Amir Houmansadr; Alina Oprea (CoRR, 2025)