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.

4 papers accepted to the main conference of NeurIPS 2023 and 11 papers accepted to the workshops of NeurIPS 2023, 1 as oral, 2 as spotlights, and 8 as posters, Sep-Dec 2023.

Depart Colloquium at University of Maryland, College Park, "Trustworthy Machine Learning in an Ever-Changing World," Sep., 2023.

Panelist at Interactive Learning with Implicit Human Feedback workshop, ICML, Jul., 2023.

3 papers accepted to the main conference and 7 accepted to the workshops at ICML 2023.

Keynote speaker at ROADS to Mega-AI Models Workshop, "Efficient Machine Learning at the Edge," MLSys, Jun., 2023.

Invited talk at the 3rd Workshop of Adversarial Machine Learning on Computer Vision: Art of Robustness, ``Robust Reinforcement Learning in an Ever-Changing World'', CVPR, Jun., 2023.

5 papers accepted to main conference at ICLR 2023 (1 of which as a spotlight oral presentation), see this thread of twitter threads  for an introduction of these works. In addition, 2 papers accepted to ICLR workshops 2023.

Invited talk on "Adaptable Reinforcement Learning in An Ever-Changing World” at the the Reincarnating Reinforcement Learning workshop at ICLR 2023. See a recording of the talk below.

Panelist at Reincarnating RL workshop, ICLR. May., 2023.

Co-organizer of NSF-IEEE workshop: Toward Explainable, reliable, and sustainable machine learning in signal & data science, ``Trustworthy Machine Learning in Complex Environments'', Mar. 2023.

Invited talk at 57th Annual Conference on Information Science and Systems, CISS, ``Efficient Machine Learning at the Edge in Parallel'', Mar., 2023.

Invited talk at 2023 Information Theory and ApplicationsWorkshop, ITA, ``Trustworthy Machine Learning in Complex Environments'', Feb., 2023.

Invited talk at UTSA Matrix AI Seminar, ``Trustworthy Machine Learning in Complex Environments'', Jan., 2023.