November Semantic Adversarial Attacks via Diffusion Models Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew Stamm, Kaidi Xu
August Improve Video Representation with Temporal Adversarial Augmentation Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu
August Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks Husheng Han, Xing Hu, Yifan Hao, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Wang, Xishan Zhang, Tianshi Chen
July Are diffusion models vulnerable to membership inference attacks? Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu
July Shifting attention to relevance: Towards the uncertainty estimation of large language models Jinhao Duan, Hao Cheng, Shiqi Wang, Chenan Wang, Alex Zavalny, Renjing Xu, Bhavya Kailkhura, Kaidi Xu
May An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization Fei Kong, Jinhao Duan, RuiPeng Ma, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
December General cutting planes for bound-propagation-based neural network verification Huan Zhang*, Shiqi Wang*, Kaidi Xu*, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J Zico Kolter
December Toward robust spiking neural network against adversarial perturbation Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
July A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, Zico Kolter
December Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification Shiqi Wang*, Huan Zhang*, Kaidi Xu*, Xue Lin, Suman Jana, Cho-Jui Hsieh, J Zico Kolter
December ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers Husheng Han*, Kaidi Xu*, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen
May Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers Kaidi Xu*, Huan Zhang*, Shiqi Wang, Yihan Wang, Suman Jana, Xue Lin, Cho-Jui Hsieh
May On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang
January Loss-based Attention for Interpreting Image-level Prediction of Convolutional Neural Networks Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Pingjun Chen, Yun Liang, Zhiyong Lu, Zhenhua Guo
December Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond Kaidi Xu*, Zhouxing Shi*, Huan Zhang*, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh
December Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney.
August Adversarial T-shirt! Evading Person Detectors in A Physical World Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin
July Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks Sijia Liu*, Songtao Lu*, Xiangyi Chen*, Yao Feng*, Kaidi Xu*, Abdullah Al-Dujaili, Minyi Hong, Una-May O’Reilly
June Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Kaidi Xu, Jiebo Song, Aojun Zhou, Chenglong Bao, Kaisheng Ma
May Towards an Efficient and General Framework of Robust Training for Graph Neural Networks Kaidi Xu, Sijia Liu, Pin-Yu Chen, Mengshu Sun, Caiwen Ding, Bhavya Kailkhura, Xue Lin
December ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization Xiangyi Chen*, Sijia Liu*, Kaidi Xu*, Xingguo Li, Xue Lin, Mingyi Hong, David Cox
October Adversarial Robustness vs Model Compression, or Both? Kaidi Xu*, Shaokai Ye*, Sijia Liu, Jan-Henrik Lambrechts, Huan Zhang, Kaisheng Ma, Yanzhi Wang, Xue Lin
October On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin
August Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective Kaidi Xu, Hongge Chen, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Mingyi Hong, Xue Lin
May Structured Adversarial Attack: Towards General Implementation and Better Interpretability Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Deniz Erdogmus, Yanzhi Wang, Xue Lin
April Interpreting Adversarial Examples by Activation Promotion and Suppression Kaidi Xu, Sijia Liu, Gaoyuan Zhang, Mengshu Sun, Pu Zhao, Quanfu Fan, Chuang Gan, Xue Lin
February REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs Caiwen Ding, Shuo Wang, Ning Liu, Kaidi Xu, Yanzhi Wang, Yun Liang
January ADMM Attack: An Enhanced Adversarial Attack for Deep Neural Networks with Undetectable Distortions Pu Zhao, Kaidi Xu, Sijia Liu, Yanzhi Wang, Xue Lin
November Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM Pu Zhao, Kaidi Xu, Tianyun Zhang, Makan Fardad, Yanzhi Wang, Xue Lin
December Supervised Graph Hashing for Histopathology Image Retrieval and Classification Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Yuanpu Xie, Hai Su, Lin Yang
February Asymmetric Discrete Graph Hashing Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang