Chen Gong
Scholar

Chen Gong

Google Scholar ID: QgfEpScAAAAJ
University of Virginia
PrivacyAI SecurityReinforcement LearningSoftware Engineering
Citations & Impact
All-time
Citations
571
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • 2025.09: One paper related to DP image synthesis has been accepted by SIGMOD 2026.
  • 2025.08: Honored to be invited to serve as a reviewer for Nature journal (IF=48.5).
  • 2025.06: One paper related to DP image synthesis has been accepted by CCS 2025.
  • 2025.05: Two papers related to LLM security have been accepted by ACL 2025.
  • 2025.03: One paper related to refining DPSGD has been accepted by IEEE Transactions on Information Forensics & Security (TIFS).
  • 2025.02: One paper related to DP image dataset synthesis has been accepted by S&P 2025.
  • 2025.02: One paper related to enhancing region-level multimodal tasks has been accepted by CVPR 2025.
  • 2025.01: One paper related to BigCode evaluations has been accepted by ICLR 2025.
  • 2024.08: One paper related to machine unlearning has been accepted by NDSS 2025.
  • 2024.08: One paper related to DP data streams has been accepted by SIGMOD 2025.
  • 2024.08: One paper related to DP network dataset synthesis has been accepted by IMC 2024.
  • 2024.06: One paper related to LMM captioning has been accepted by ECCV 2024.
  • 2024.06: One paper related to DP data stream release has been accepted, and another paper related to machine unlearning has received a major revision from NDSS 2025.
  • 2024.04: One paper related to DP image dataset synthesis has been accepted by USENIX Security 2024.
  • 2024.03: One paper has been accepted by IEEE S&P 2024.
  • 2023.09: One paper has been accepted by NeurIPS 2023.
  • 2022.12: Our paper wins the Honorable Mention Award at ACSAC 2022!
Background
  • Research interests include reinforcement learning security, offline reinforcement learning, convex duality in reinforcement learning, adversarial policy, generative models, and variational inference.
Miscellany
  • Personal interests and hobbies are not provided.