Chenghao Deng

PhD student, Department of Electrical and Computer Engineering, University of Maryland, College Park

Joined

January 2023

Names

Chenghao Deng (Preferred)

Emails

****@umd.edu (Confirmed)

Personal Links

Homepage

Google Scholar

Semantic Scholar

Career & Education History

PhD student

Department of Electrical and Computer Engineering, University of Maryland, College Park (umd.edu)

2020 – Present

Undergrad student

Department of Electronic Engineering, Tsinghua University (mails.tsinghua.edu.cn)

2016 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Furong Huang

2021 – Present

Expertise

Large Language Model

2024 – Present

Reinforcement Learning

2021 – Present

Publications

A Technical Report on “Erasing the Invisible”: The 2024 NeurIPS Competition on Stress Testing Image Watermarks
Mucong Ding, Bang An, Tahseen Rabbani, Chenghao Deng, Anirudh Satheesh, Souradip Chakraborty, Mehrdad Saberi, Yuxin Wen, Kyle Rui Sang, Aakriti Agrawal, Xuandong Zhao, Mo Zhou, Mary-Anne Hartley, Lei Li, Yu-Xiang Wang, Vishal M. Patel, Soheil Feizi, Tom Goldstein, Furong Huang
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM?
Aakriti Agrawal, Mucong Ding, Zora Che, Chenghao Deng, Anirudh Satheesh, John Langford, Furong Huang
- SafeGenAi Poster
- Readers: Everyone
SAIL: Self-improving Efficient Online Alignment of Large Language Models
Mucong Ding, Souradip Chakraborty, Vibhu Agrawal, Zora Che, Chenghao Deng, Alec Koppel, Mengdi Wang, Dinesh Manocha, Amrit Singh Bedi, Furong Huang
- Submitted to ICLR 2025
- Readers: Everyone
EnsemW2S: Can an Ensemble of LLMs be Leveraged to Obtain a Stronger LLM?
Aakriti Agrawal, Mucong Ding, Zora Che, Chenghao Deng, Anirudh Satheesh, John Langford, Furong Huang
- Submitted to ICLR 2025
- Readers: Everyone
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
Mucong Ding, Chenghao Deng, Jocelyn Choo, Zichu Wu, Aakriti Agrawal, Avi Schwarzschild, Tianyi Zhou, Tom Goldstein, John Langford, Anima Anandkumar, Furong Huang
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
Erasing the Invisible: A Stress-Test Challenge for Image Watermarks
Mucong Ding, Tahseen Rabbani, Bang An, Souradip Chakraborty, Chenghao Deng, Mehrdad Saberi, Yuxin Wen, Xuandong Zhao, Mo Zhou, Anirudh Satheesh, Mary-Anne Hartley, Lei Li, Yu-Xiang Wang, Vishal M. Patel, Soheil Feizi, Tom Goldstein, Furong Huang
- NeurIPS 2024 Competition Track
- Readers: Everyone
WAVES: Benchmarking the Robustness of Image Watermarks
Mucong Ding, Tahseen Rabbani, Bang An, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
- ICLR 2024 R2-FM Workshop Poster
- Readers: Everyone
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang
- ICML 2024 Poster
- Readers: Everyone
WAVES: Benchmarking the Robustness of Image Watermarks
Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
- ICML 2024 Poster
- Readers: Everyone
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang
- MASEC@NeurIPS'23 WiPP
- Readers: Everyone

View all 13 publications

Co-Authors

View all 39 co-authors