Minhao Cheng

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 66

Top Topics

Diffusion Models

Variance Reduction

Top Venues

Publications

Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise. CoRR (2024)
Kuan Li, Yiwen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng, Xiang Ao
Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective. ICLR (2024)
Yong Liu, Zirui Zhu, Chaoyu Gong, Minhao Cheng, Cho-Jui Hsieh, Yang You
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning. CoRR (2024)
Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh
DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers. CoRR (2024)
Sen Li, Junchi Ma, Minhao Cheng
Invisible Backdoor Attacks on Diffusion Models. CoRR (2024)
Sen Li, Ruochen Wang, Cho-Jui Hsieh, Minhao Cheng, Tianyi Zhou
MuLan: Multimodal-LLM Agent for Progressive Multi-Object Diffusion. CoRR (2024)
QingGuo Qi, Hongyang Chen, Minhao Cheng, Han Liu
Input Snapshots Fusion for Scalable Discrete Dynamic Graph Nerual Networks. CoRR (2024)
Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh
MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries? CoRR (2024)
Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh
Understanding the Impact of Negative Prompts: When and How Do They Take Effect? CoRR (2024)
Rui Min, Sen Li, Hongyang Chen, Minhao Cheng
A Watermark-Conditioned Diffusion Model for IP Protection. CoRR (2024)
Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. CoRR (2024)
Xinglin Li, Xianwen He, Yao Li, Minhao Cheng
Defense Against Syntactic Textual Backdoor Attacks with Token Substitution. CoRR (2024)
Haosen Wang, Can Xu, Chenglong Shi, Pengfei Zheng, Shiming Zhang, Minhao Cheng, Hongyang Chen
Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering. KDD (2024)
Lichang Chen, Heng Huang, Minhao Cheng
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. CoRR (2023)
Rui Min, Zeyu Qin, Li Shen, Minhao Cheng
Towards Stable Backdoor Purification through Feature Shift Tuning. CoRR (2023)
Mingyang Chen, Bo Huang, Junda Lu, Bing Li, Yi Wang, Minhao Cheng, Wei Wang
Dataset Distillation via Adversarial Prediction Matching. CoRR (2023)
Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD (2023)
Rui Min, Zeyu Qin, Li Shen, Minhao Cheng
Towards Stable Backdoor Purification through Feature Shift Tuning. NeurIPS (2023)
Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. CVPR (2023)
Bo Huang, Mingyang Chen, Yi Wang, Junda Lu, Minhao Cheng, Wei Wang
Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation. CVPR (2023)
Lichang Chen, Minhao Cheng, Heng Huang
Backdoor Learning on Sequence to Sequence Models. CoRR (2023)
Lichang Chen, Jiuhai Chen, Heng Huang, Minhao Cheng
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. EMNLP (2023)
Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen
Identification of the Adversary from a Single Adversarial Example. ICML (2023)
Yize Cheng, Wenbin Hu, Minhao Cheng
Backdoor Attack against Object Detection with Clean Annotation. CoRR (2023)
Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. CoRR (2023)
Jianqiu Wu, Hongyang Chen, Minhao Cheng, Haoyi Xiong
CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity. BMC Bioinform. 24 (1) (2023)
Chenxi Liu, Zhu Xiao, Dong Wang, Minhao Cheng, Hongyang Chen, Jiawei Cai
Foreseeing private car transfer between urban regions with multiple graph-based generative adversarial networks. World Wide Web 25 (6) (2022)
Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. CoRR (2022)
Yong Liu, Siqi Mai, Minhao Cheng, Xiangning Chen, Cho-Jui Hsieh, Yang You
Random Sharpness-Aware Minimization. NeurIPS (2022)
Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You
Concurrent Adversarial Learning for Large-Batch Training. ICLR (2022)
Jaechul Roh, Minhao Cheng, Yajun Fang
MSDT: Masked Language Model Scoring Defense in Text Domain. CoRR (2022)
Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh
CAT: Customized Adversarial Training for Improved Robustness. IJCAI (2022)
Jaechul Roh, Minhao Cheng, Yajun Fang
MSDT: Masked Language Model Scoring Defense in Text Domain. UV (2022)
Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh
Efficient Non-Parametric Optimizer Search for Diverse Tasks. NeurIPS (2022)
Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh
Efficient Non-Parametric Optimizer Search for Diverse Tasks. CoRR (2022)
Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. ICCV (2021)
Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You
Concurrent Adversarial Learning for Large-Batch Training. CoRR (2021)
Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh
Rethinking Architecture Selection in Differentiable NAS. CoRR (2021)
Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das
Self-Progressing Robust Training. AAAI (2021)
Yao Li, Minhao Cheng, Cho-Jui Hsieh, Thomas C. M. Lee
A Review of Adversarial Attack and Defense for Classification Methods. CoRR (2021)
Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh
Rethinking Architecture Selection in Differentiable NAS. ICLR (2021)
Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. CoRR (2021)
Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
DrNAS: Dirichlet Neural Architecture Search. ICLR (2021)
Xiaoqing Zheng, Jiehang Zeng, Yi Zhou, Cho-Jui Hsieh, Minhao Cheng, Xuanjing Huang
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples. ACL (2020)
Devvrit, Minhao Cheng, Cho-Jui Hsieh, Inderjit S. Dhillon
Voting based ensemble improves robustness of defensive models. CoRR (2020)
Minhao Cheng, Jinfeng Yi, Pin-Yu Chen, Huan Zhang, Cho-Jui Hsieh
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. AAAI (2020)
Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
DrNAS: Dirichlet Neural Architecture Search. CoRR (2020)
Minhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack. ICLR (2020)
Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh
CAT: Customized Adversarial Training for Improved Robustness. CoRR (2020)
Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das
Self-Progressing Robust Training. CoRR (2020)
Minhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack. CoRR (2019)
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh
Natural Adversarial Sentence Generation with Gradient-based Perturbation. CoRR (2019)
Minhao Cheng, Wei Wei, Cho-Jui Hsieh
Evaluating and Enhancing the Robustness of Dialogue Systems: A Case Study on a Negotiation Agent. NAACL-HLT (1) (2019)
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh
On the Robustness of Self-Attentive Models. ACL (1) (2019)
Minhao Cheng, Thong Le, Pin-Yu Chen, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach. ICLR (Poster) (2019)
Huang Fang, Minhao Cheng, Cho-Jui Hsieh, Michael P. Friedlander
Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization. SDM (2019)
Huan Zhang, Minhao Cheng, Cho-Jui Hsieh
Enhancing Certifiable Robustness via a Deep Model Ensemble. CoRR (2019)
Minhao Cheng, Thong Le, Pin-Yu Chen, Jinfeng Yi, Huan Zhang, Cho-Jui Hsieh
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach. CoRR (2018)
Minhao Cheng, Ian Davidson, Cho-Jui Hsieh
Extreme Learning to Rank via Low Rank Assumption. ICML (2018)
Yao Li, Minhao Cheng, Kevin Fujii, Fushing Hsieh, Cho-Jui Hsieh
Learning from Group Comparisons: Exploiting Higher Order Interactions. NeurIPS (2018)
Xuanqing Liu, Minhao Cheng, Huan Zhang, Cho-Jui Hsieh
Towards Robust Neural Networks via Random Self-ensemble. ECCV (7) (2018)
Minhao Cheng, Jinfeng Yi, Huan Zhang, Pin-Yu Chen, Cho-Jui Hsieh
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. CoRR (2018)
Minhao Cheng, Cho-Jui Hsieh
Distributed Primal-Dual Optimization for Non-uniformly Distributed Data. IJCAI (2018)
Liu Liu, Minhao Cheng, Cho-Jui Hsieh, Dacheng Tao
Stochastic Zeroth-order Optimization via Variance Reduction method. CoRR (2018)
Xuanqing Liu, Minhao Cheng, Huan Zhang, Cho-Jui Hsieh
Towards Robust Neural Networks via Random Self-ensemble. CoRR (2017)
Huang Fang, Minhao Cheng, Cho-Jui Hsieh
A Hyperplane-Based Algorithm for Semi-Supervised Dimension Reduction. ICDM (2017)
Xinzheng Niu, Dazhuang Su, Minhao Cheng
Intelligent Mobile Framework Based on Swarm Computation. CIT/IUCC/DASC/PICom (2015)