ML Anthology

Suh, G. Edward

11 publications

ICLR 2025 AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs Xiaogeng Liu, Peiran Li, G. Edward Suh, Yevgeniy Vorobeychik, Zhuoqing Mao, Somesh Jha, Patrick McDaniel, Huan Sun, Bo Li, Chaowei Xiao
ICML 2025 Trustworthy Machine Learning Through Data-Specific Indistinguishability Hanshen Xiao, Zhen Yang, G. Edward Suh
TMLR 2025 Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Sai Qian Zhang, Ziyun Li, Chuan Guo, Saeed Mahloujifar, Deeksha Dangwal, G. Edward Suh, Barbara De Salvo, Chiao Liu
NeurIPS 2023 Bounding the Invertibility of Privacy-Preserving Instance Encoding Using Fisher Information Kiwan Maeng, Chuan Guo, Sanjay Kariyappa, G. Edward Suh
ICML 2023 Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K Qureshi, Hsien-Hsin S. Lee
ICLR 2023 MACTA: A Multi-Agent Reinforcement Learning Approach for Cache Timing Attacks and Detection Jiaxun Cui, Xiaomeng Yang, Mulong Luo, Geunbae Lee, Peter Stone, Hsien-Hsin S. Lee, Benjamin Lee, G. Edward Suh, Wenjie Xiong, Yuandong Tian
ICMLW 2023 Machine Learning with Feature Differential Privacy Saeed Mahloujifar, Chuan Guo, G. Edward Suh, Kamalika Chaudhuri
NeurIPSW 2022 Private Data Leakage via Exploiting Access Patterns of Sparse Features in Deep Learning-Based Recommendation Systems Hanieh Hashemi, Wenjie Xiong, Liu Ke, Kiwan Maeng, Murali Annavaram, G. Edward Suh, Hsien-Hsin S. Lee
NeurIPS 2021 BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh
ICLR 2020 Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations Yichi Zhang, Ritchie Zhao, Weizhe Hua, Nayun Xu, G. Edward Suh, Zhiru Zhang
NeurIPS 2019 Channel Gating Neural Networks Weizhe Hua, Yuan Zhou, Christopher M De Sa, Zhiru Zhang, G. Edward Suh