We are thrilled to announce that 7 exceptional students from our group are on the job market this year, ready to bring their expertise to new frontiers! 6 of them are pursuing industrial roles, while 1 will be on the academic job market looking for postdoctoral and faculty positions.

These talented researchers work on cutting-edge areas including AI Security, AI Agents, Alignment, Ethics, Fairness, and Responsible AI. They have deep experience with Generative AI, LLMs, VLMs, and VLAs, driving innovations in Weak-to-Strong Generalization and AI safety.

Don't miss this opportunity to connect with these future leaders in AI. Check out their profiles here!

I gave a keynote at the New York Academy of Sciences, 15th Annual Machine Learning Symposium, "Towards Generative AI Security: An Interplay of Stress-Testing and Alignment"

5 papers accepted to NeurIPS 2024 the Main Track and 1 paper accepted to Datasets and Benchmarks Track.

Are invisible watermarks in AI-generated content truly effective in distinguishing AI-generated images from real ones? We’re hosting a NeurIPS competition "Erasing the Invisible: A Stress-Test Challenge for Image Watermarks" to stress-test these watermarks, and we want you to put them to the test! Here’s how it works: we provide watermarked images, and your task is to remove the watermarks. If your approach outperforms the rest, you’ll win a prize and the chance to present your work at our NeurIPS workshop! Spread the word and join the challenge!

Website: https://erasinginvisible.github.io/

2 papers accepted to EMNLP 2024 Findings.

2 papers accepted to the first conference on Language Modeling, COLM 2024.

I gave a keynote at the 1st CVPR Workshop on Dataset Distillation, titled "Advancing AI with Data-Centric Strategies: Boosting Efficiency, Generalization, and Trust".

I am thrilled to announce my promotion to Associate Professor with tenure in the Department of Computer Science at the University of Maryland, effective July 1, 2024. I am deeply grateful to my mentors, collaborators, and students for their unwavering support and encouragement throughout this journey.

I gave a talk at AI Community of Practice Seminar at the U.S. Securities and Exchange Commission (SEC) , titled "Integrity in AI: Multi-Modality Approaches to Combat Misinformation for Content Authenticity"

2 papers accepted to main conference at ACL 2024.

I participated in a Reddit AMA (Ask Me Anything) session on May 14 from 2-4 p.m. Eastern Time, where I answered questions about AI and machine learning.

9 papers accepted to main conference at ICML 2024.

I gave a talk at Qualcomm AI Security Lecture Series, March 8, 2024. The talk title is "Invisible Foes: Crafting and Cracking AI in the Shadows of Language -- Poison Finetuning Data and Jailbreak Prompts for LLMs".

I gave a seminar talk at Values-Centered Artificial Intelligence (VCAI) seminar series, College Park, MD, Feb 1, 2024. The talk title is "Algorithmic Fairness in an Ever-Changing World".

Our Mementos benchmark on testing sequential reasoning capabilities of multimodal large language models on image sequences is out. Find the arXiv, github code and data, visualization and leaderboard links at the project page: https://mementos-bench.github.io/. Jan., 2024.

Our WAVES benchmark on stress-testing image watermarks is out. Find the arXiv, github code, Hugging Face data, visualization and leaderboard links at the project page: https://wavesbench.github.io/. Jan., 2024.

10 papers accepted to the main conference of ICLR 2024, 2 as spotlights 8 as posters. For more details, click on the Post on Social Media.

Chair and organizer of NSF-Amazon Fairness in AI Principle Investigator Meeting, Jan 9-10, 2024.