I am a fourth-year Ph.D. student at the Manning College of Information & Computer Sciences at UMass Amherst, advised by Amir Houmansadr. My general research interest lies in trustworthy machine learning, with a current focus on various aspects of trustworthy generative AI, including large language models and multimodal models. I obtained my bachelor’s degree from Sharif University of Technology.

News

• September 16, 2024: Our paper, “Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images,” was selected for an oral spotlight presentation at the 2024 COLM (top 2%).
• August 30, 2024: Our paper, “Diffence: Fencing Membership Privacy With Diffusion Models,” was accepted at the 2025 NDSS.
• July 10, 2024: Our paper, “Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images,” was accepted at the 2024 COLM.
• May 20, 2024: I started a new position as a Research Intern at Oracle, where I am working on membership inference attacks in LLMs.
• May 17, 2024: I received my Master’s degree from, and subsequently advanced to PhD candidate.
• May 6, 2024: I received the Distinction Award for Portfolio Excellence from the Manning College of Information & Computer Sciences at the University of Massachusetts Amherst.
• March 15, 2024: I presented a talk titled “Stealing the decoding algorithms of language models,” at the 2024 New England Security Day.
• December 22, 2023: Our paper, “Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication,” was accepted at the 2024 PPAI.
• November 30, 2023: Our paper, “Stealing the decoding algorithms of language models,” won a Distinguished Paper Award at the 2023 CCS.
• May 8, 2023: Our paper, “Stealing the decoding algorithms of language models,” was accepted at the 2023 CCS.