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 * Erfan Shayegani 😈


ERFAN SHAYEGANI

3rd year Computer Science PhD student @ UC Riverside

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 * 🤗 HuggingFace


ABOUT ME

I’m a 3rd-year PhD student at the Computer Science department of UC Riverside,
where I am very fortunate to be advised by Prof. Nael Abu-Ghazaleh and Prof. Yue
Dong.

My research lies at the intersection of Generative AI and trustworthiness,
particularly focusing on Multi-Modal Large Language Models (LLMs & MLLMs) with
an emphasis on Safety, Alignment, Adversarial Robustness, Ethics, Bias,
Fairness, Sociotechnical challenges, and Security/Privacy. Additionally, I am
deeply interested in advancing Multimodal Understanding, Reasoning, and
Retrieval, as well as Expert Specialization, Personalization, Multilingual
MLLMs, and AI Agent development. My work also involves exploring Evaluation
methods and Reward Modeling to ensure more adaptive, steerable, and contextually
aligned AI systems. I have been also working on integrating AR/VR and Mixed
Reality (MR) with AI Agents.

Honestly, the Dark Side of AI 😈 has always been very attractive to me, that’s
why I enjoy attacking these models from an adversarial perspective (Dopamine
Rush 🌊🧨) to find the vulnerabilities of current alignment and defense
startegies with the goal of developing more robust systems.

In Summer 2024, I had a great experience as a Research Intern at Microsoft
Research working with Javier Hernandez and Jina Suh. There, I had to pause my
adversarial mindset and focus on being the “good guy,” LoL 😈->😇. I worked on
Evaluation and Measurment methods of Empathy/User Satisfaction in LLM Chatbots
as well as Training Context-Specific Expert Adapters to Steer empathy based on
user’s need!


NEWS ⬇️ (SCROLL DOWN)

 * Oct 2024: I will serve as a reviewer for ICLR 2025.
 * Sep 2024: Our paper (Co-First Authored) on "Textual Unlearning" to solve
   "Cross-Modality Safety Alignment" was Accepted at EMNLP 2024 Findings - See
   y'all in Florida 🐊🌊🌴 [Paper]
 * Sep 2024: I successfully concluded my internship at Microsoft Research ; The
   best experience I could imagine and thankful to my whole team! Stay tuned for
   the research paper and the models (Cooking ... 👨🏻‍🍳🍳🔥)
 * Sep 2024: My work was cited in the "International Scientific Report on the
   Safety of Advanced AI". [Report]
 * Aug 2024: 👨🏻‍🎓 We gave a 3-hour tutorial on "AI Safety and Adversarial
   Attacks" at ACL 2024. [Material] [Paper]
 * July 2024: I gave a talk on AI Safety and AR/VR Security with implications on
   Human-Computer Interaction at MSR . [Slides]
 * July 2024: I presented my works on "Unlearning" and "Cross-Modality Safety
   Alignment" at McGill NLP group . [Site]
 * Summer 2024: I will be doing an internship at Microsoft Research in Summer
   2024! (Thrilled 💥👨🏻‍💻)
 * June 2024: I'm honored to serve as a reviewer for NextGenAISafety 2024 at
   ICML! [ICML2024]
 * June 2024: 🏅🏆 I won the "Outstanding Teaching Award" of the CS department
   of UCR! (Grateful 🤗) [Award]
 * Mar 2024: My work on Cross-Modal Vulnerability Alignment in Vision-Language
   Models was accepted for a presentation at SuperAGI Leap Summit 2024! [Video]
   [SuperAGI]
 * Mar 2024: Our paper "That Doesn't Go There: Attacks on Shared State in
   Multi-User Augmented Reality Applications" has been accepted to USENIX
   SECURITY 2024! [paper]
 * Feb 2024: Gave a lightning talk on my AI Safety work at Cohere For AI!
   [Slides]
 * Jan 2024: 🎖🔥 Our paper "Jailbreak in Pieces: Compositional Adversarial
   Attacks on Multi-Modal Language Models" was accepted for "Spotlight
   presentation(top 5% of 7262 submissions) at ICLR2024! [OpenReview]
   [SlidesLive-Video] [YoutubeAInews]
 * Nov 2023: 🏆 Our paper "Jailbreak in Pieces: Compositional Adversarial
   Attacks on Multi-Modal Language Models" won the "Best Paper Award" at SoCal
   NLP 2023! [paper] [Award] [News1] [News2] [News3]
 * Sep 2023: Our paper "Vulnerabilities of Large Language Models to Adversarial
   Attacks" has been accepted for a tutorial to ACL2024! [paper]
 * Jul 2023: Yay! I did my own first paper :D! "Plug and Pray: Exploiting
   off-the-shelf components of Multi-Modal Models" [paper]
 * Apr 2023: I will be serving as the moderator & evaluator of student
   presentations at UGRS2023! [paper]


EDUCATION

Ph.D. in Computer Science at University of California, Riverside
(Sep2022-Present)

B.Sc. in Electrical Engineering at Sharif University of Technology (2017-2022)

Ranked 68th among 150,000 participants in Iran Nationwide University Entrance
Exam (Konkur)


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