Li, Zhuohang

10 publications

NeurIPS 2025 Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark Hanlei Zhang, Zhuohang Li, Hua Xu, Yeshuang Zhu, Peiwu Wang, Haige Zhu, Jie Zhou, Jinchao Zhang

NeurIPS 2025 What Really Is a Member? Discrediting Membership Inference via Poisoning Neal Mangaokar, Ashish Hooda, Zhuohang Li, Bradley A. Malin, Kassem Fawaz, Somesh Jha, Atul Prakash, Amrita Roy Chowdhury

ICMLW 2024 PhaseEvo: Towards Unified Long-Context Prompt Optimization for Large Language Models Wendi Cui, Jiaxin Zhang, Zhuohang Li, Hao Sun, Damien Lopez, Kamalika Das, Bradley A. Malin, Sricharan Kumar

NeurIPSW 2023 A Divide-Conquer-Reasoning Approach to Consistency Evaluation and Improvement in Blackbox Large Language Models Wendi Cui, Jiaxin Zhang, Zhuohang Li, Damien Lopez, Kamalika Das, Bradley Malin, Sricharan Kumar

NeurIPSW 2023 Exploring User-Level Gradient Inversion with a Diffusion Prior Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Bradley A. Malin, Kieran Parsons, Ye Wang

NeurIPS 2023 Interactive Multi-Fidelity Learning for Cost-Effective Adaptation of Language Model with Sparse Human Supervision Jiaxin Zhang, Zhuohang Li, Kamalika Das, Sricharan Kumar

ICMLW 2023 Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen

CVPR 2022 Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage Zhuohang Li, Jiaxin Zhang, Luyang Liu, Jian Liu

ECCV 2022 RIBAC: Towards Robust and Imperceptible Backdoor Attack Against Compact DNN Huy Phan, Cong Shi, Yi Xie, Tianfang Zhang, Zhuohang Li, Tianming Zhao, Jian Liu, Yan Wang, Yingying Chen, Bo Yuan

AAAI 2021 Enabling Fast and Universal Audio Adversarial Attack Using Generative Model Yi Xie, Zhuohang Li, Cong Shi, Jian Liu, Yingying Chen, Bo Yuan