Chao Du

发表

Composite Quantization for Approximate Nearest Neighbor Search

Jingdong Wang, Chao Du, Ting Zhang, 2014, ICML.

Improving Adversarial Robustness via Promoting Ensemble Diversity pdf

Ning Chen, Jun Zhu, Chao Du, 2019, ICML.

Max-Mahalanobis Linear Discriminant Analysis Networks pdf

Jun Zhu, Chao Du, Tianyu Pang, 2018, ICML.

Towards Robust Detection of Adversarial Examples

Jun Zhu, Yinpeng Dong, Chao Du, 2017, NeurIPS.

Robust Deep Learning via Reverse Cross-Entropy Training and Thresholding Test pdf

Jun Zhu, Chao Du, Tianyu Pang, 2017, ArXiv.

ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning

Chao Du, Bo Zheng, Liang Wang, 2022, KDD.

Does Federated Learning Really Need Backpropagation?

Min Lin, Chao Du, Wei Chen, 2023, ArXiv.

CoSDA: Continual Source-Free Domain Adaptation

Chao Du, Wei Chen, Tianyu Pang, 2023, ArXiv.

Better Diffusion Models Further Improve Adversarial Training

Min Lin, Chao Du, Tianyu Pang, 2023, ArXiv.

Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness pdf

Ning Chen, Jun Zhu, Yinpeng Dong, 2019, ICLR.

Exploring Incompatible Knowledge Transfer in Few-shot Image Generation

Min Lin, Chao Du, Tianyu Pang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Collaborative Filtering with User-Item Co-Autoregressive Models

Hanning Zhou, Jun Zhu, Bo Zhang, 2016, AAAI.

A Recipe for Watermarking Diffusion Models

Min Lin, Chao Du, Tianyu Pang, 2023, ArXiv.

Better Diffusion Models Further Improve Adversarial Training

Min Lin, Chao Du, Tianyu Pang, 2023, ICML.

On Evaluating Adversarial Robustness of Large Vision-Language Models

Min Lin, Chao Du, Tianyu Pang, 2023, ArXiv.

Bag of Tricks for Training Data Extraction from Language Models

Min Lin, Yan Huang, Chao Du, 2023, ICML.

Exploring Model Dynamics for Accumulative Poisoning Discovery

Liang Wang, Tongliang Liu, Bo Han, 2023, arXiv.org.

Efficient Diffusion Policies for Offline Reinforcement Learning

Chao Du, Tianyu Pang, Bingyi Kang, 2023, arXiv.org.

On Calibrating Diffusion Probabilistic Models

Min Lin, Chao Du, Tianyu Pang, 2023, NeurIPS.

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Bill Yuchen Lin, Min Lin, Chao Du, 2023, ArXiv.

Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows

Min Lin, Chao Du, Tianyu Pang, 2023, arXiv.org.

Learning Deep Generative Models With Doubly Stochastic Gradient MCMC

Bo Zhang, Jun Zhu, Chao Du, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Learning Deep Generative Models with Doubly Stochastic MCMC pdf

Bo Zhang, Jun Zhu, Chao Du, 2015, ArXiv.

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning

Kun Gai, Chao Du, Xiaoqiang Zhu, 2020, KDD.

Inner Product Similarity Search using Compositional Codes pdf

Jingdong Wang, Chao Du, Jingdong Wang, 2014, ArXiv.

Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows

Min Lin, Chao Du, Tianyu Pang, 2023, ICML.

Learning Implicit Generative Models by Teaching Explicit Ones pdf

Bo Zhang, Jun Zhu, Chao Du, 2018, ArXiv.

Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning

Chao Du, Bo Zheng, Haozhe Jasper Wang, 2023, KDD.

On Evaluating Adversarial Robustness of Large Vision-Language Models

Min Lin, Chao Du, Tianyu Pang, 2023, NeurIPS.

Intriguing Properties of Data Attribution on Diffusion Models

Chao Du, Tianyu Pang, Xiaosen Zheng, 2023, ArXiv.

On Memorization in Diffusion Models

Chao Du, Tianyu Pang, Min Lin, 2023, ArXiv.

Gaussian Mixture Solvers for Diffusion Models

Chao Du, Tianyu Pang, Fan Bao, 2023, ArXiv.

Efficient Diffusion Policies for Offline Reinforcement Learning

Chao Du, Tianyu Pang, Bingyi Kang, 2023, ArXiv.

A Recipe for Watermarking Diffusion Models

Min Lin, Chao Du, Tianyu Pang, 2023, ArXiv.

Weak-to-Strong Jailbreaking on Large Language Models

Chao Du, Tianyu Pang, Xianjun Yang, 2024, ArXiv.

Test-Time Backdoor Attacks on Multimodal Large Language Models

Chao Du, Tianyu Pang, Xianjun Yang, 2024, ArXiv.

Finetuning Text-to-Image Diffusion Models for Fairness

Mohan S. Kankanhalli, Chao Du, Tianyu Pang, 2023, ArXiv.

AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation

Chao Du, Tianyu Pang, Ngai-Man Cheung, 2023, ArXiv.

Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast

Chao Du, Tianyu Pang, Xiaosen Zheng, 2024, ArXiv.

Graph Diffusion Policy Optimization

Chao Du, Tianyu Pang, Yijing Liu, 2024, ArXiv.