Kaidi Xu

According to our database, Kaidi Xu authored at least 79 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.

Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li

CoRR, 2024

Medical Unlearnable Examples: Securing Medical Data from Unauthorized Traning via Sparsity-Aware Local Masking.

Weixiang Sun, Yixin Liu, Zhiling Yan, Kaidi Xu, Lichao Sun

CoRR, 2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model.

Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu

CoRR, 2024

Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond.

Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Huaxiu Yao, Yue Zhang, Ren Wang, Kaidi Xu, Xiaoshuang Shi

CoRR, 2024

GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations.

Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu

CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.

Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao

CoRR, 2024

Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise.

Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet.

Kaidi Xu, Nguyen Van Huynh, Geoffrey Ye Li

IEEE Trans. Commun., October, 2023

Secrecy Rate Maximization of RIS-Assisted SWIPT Systems: A Two-Timescale Beamforming Design Approach.

Ming-Min Zhao, Kaidi Xu, Yunlong Cai, Yong Niu, Lajos Hanzo

IEEE Trans. Wirel. Commun., July, 2023

Why does batch normalization induce the model vulnerability on adversarial images?

Fei Kong, Fangqi Liu, Kaidi Xu, Xiaoshuang Shi

World Wide Web (WWW), May, 2023

Dynamic Adversarial Attacks on Autonomous Driving Systems.

Amirhosein Chahe, Chenan Wang, Abhishek Jeyapratap, Kaidi Xu, Lifeng Zhou

CoRR, 2023

A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly.

Yifan Yao, Jinhao Duan, Kaidi Xu, Yuanfang Cai, Eric Sun, Yue Zhang

CoRR, 2023

Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?

Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhangp Zidong Dup Qi Guo, Xing Hu

CoRR, 2023

ACT: Adversarial Consistency Models.

Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu

CoRR, 2023

PINNs-Based Uncertainty Quantification for Transient Stability Analysis.

Ren Wang, Ming Zhong, Kaidi Xu, Lola Giráldez Sánchez-Cortés, Ignacio de Cominges Guerra

CoRR, 2023

Pursing the Sparse Limitation of Spiking Deep Learning Structures.

Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Le Yang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu

CoRR, 2023

Federated Reinforcement Learning for Resource Allocation in V2X Networks.

Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li

CoRR, 2023

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network.

Hao Cheng, Jiahang Cao, Erjia Xiao, Pu Zhao, Mengshu Sun, Jiaxu Wang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu

CoRR, 2023

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias.

Hao Cheng, Jinhao Duan, Hui Li, Lyutianyang Zhang, Jiahang Cao, Ping Wang, Jize Zhang, Kaidi Xu, Renjing Xu

CoRR, 2023

Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing.

Shenglong Zhou, Kaidi Xu, Geoffrey Ye Li

CoRR, 2023

Exposing the Fake: Effective Diffusion-Generated Images Detection.

Ruipeng Ma, Jinhao Duan, Fei Kong, Xiaoshuang Shi, Kaidi Xu

CoRR, 2023

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

CoRR, 2023

Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training.

Pucheng Dang, Xing Hu, Kaidi Xu, Jinhao Duan, Di Huang, Husheng Han, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen

CoRR, 2023

Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation.

Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen

CoRR, 2023

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

CoRR, 2023

Using Caterpillar to Nibble Small-Scale Images.

Jin Sun, Xiaoshuang Shi, Zhiyuan Weng, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu

CoRR, 2023

Improve Video Representation with Temporal Adversarial Augmentation.

Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Are Diffusion Models Vulnerable to Membership Inference Attacks?

Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu

Proceedings of the International Conference on Machine Learning, 2023

Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack.

Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semantic Adversarial Attacks via Diffusion Models.

Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu

Proceedings of the 34th British Machine Vision Conference 2023, 2023

RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias.

Hao Cheng, Jinhao Duan, Hui Li, Jiahang Cao, Ping Wang, Lyutianyang Zhang, Jize Zhang, Kaidi Xu, Renjing Xu

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Intelligent Reflecting Surface Aided Full-Duplex Communication: Passive Beamforming and Deployment Design.

Yunlong Cai, Ming-Min Zhao, Kaidi Xu, Rui Zhang

IEEE Trans. Wirel. Commun., 2022

Audit and Improve Robustness of Private Neural Networks on Encrypted Data.

Jiaqi Xue, Lei Xu, Lin Chen, Weidong Shi, Kaidi Xu, Qian Lou

CoRR, 2022

Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks.

Husheng Han, Xing Hu, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Yang, Tianshi Chen

CoRR, 2022

More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression.

Hao Cheng, Kaidi Xu, Zhengang Li, Pu Zhao, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Toward Robust Spiking Neural Network Against Adversarial Perturbation.

Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Beamforming Design for Intelligent Reflecting Surface Aided Full-Duplex Relay Systems.

Zijian Chen, Min-Jian Zhao, Kaidi Xu, Yunlong Cai, MinJian Zhao

Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

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, J. Zico Kolter

Proceedings of the International Conference on Machine Learning, 2022

Poster: On the System-Level Effectiveness of Physical Object-Hiding Adversarial Attack in Autonomous Driving.

Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems.

Qiyu Hu, Yunlong Cai, Qingjiang Shi, Kaidi Xu, Guanding Yu, Zhi Ding

IEEE Trans. Wirel. Commun., 2021

MIMO-Aided Nonlinear Hybrid Transceiver Design for Multiuser Mmwave Systems Relying on Tomlinson-Harashima Precoding.

Kaidi Xu, Yunlong Cai, Min-Jian Zhao, Yong Niu, Lajos Hanzo

IEEE Trans. Veh. Technol., 2021

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

IEEE Trans. Image Process., 2021

Low-Complexity Joint Power Allocation and Trajectory Design for UAV-Enabled Secure Communications With Power Splitting.

Kaidi Xu, Ming-Min Zhao, Yunlong Cai, Lajos Hanzo

IEEE Trans. Commun., 2021

Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression.

Sheng Lin, Wei Jiang, Wei Wang, Kaidi Xu, Yanzhi Wang, Shan Liu, Songnan Li

CoRR, 2021

Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations.

Hao Cheng, Kaidi Xu, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn

CoRR, 2021

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification.

Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter

CoRR, 2021

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Two-Timescale Hybrid Analog-Digital Beamforming for mmWave Full-Duplex MIMO Multiple-Relay Aided Systems.

Yunlong Cai, Kaidi Xu, An Liu, MinJian Zhao, Benoît Champagne, Lajos Hanzo

IEEE J. Sel. Areas Commun., 2020

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

CoRR, 2020

Automatic Perturbation Analysis on General Computational Graphs.

Kaidi Xu, Zhouxing Shi, Huan Zhang, Minlie Huang, Kai-Wei Chang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh

CoRR, 2020

Defending against Backdoor Attack on Deep Neural Networks.

Hao Cheng, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Pu Zhao, Xue Lin

CoRR, 2020

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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, Mingyi Hong, Una-May O'Reilly

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Proceedings of the Computer Vision - ECCV 2020, 2020

Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation.

Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Evading Real-Time Person Detectors by Adversarial T-shirt.

Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin

CoRR, 2019

Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML.

Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly

CoRR, 2019

Brain-inspired reverse adversarial examples.

Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, Kaisheng Ma

CoRR, 2019

Interpreting Adversarial Examples by Activation Promotion and Suppression.

Kaidi Xu, Sijia Liu, Gaoyuan Zhang, Mengshu Sun, Pu Zhao, Quanfu Fan, Chuang Gan, Xue Lin

CoRR, 2019

Second Rethinking of Network Pruning in the Adversarial Setting.

Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin

CoRR, 2019

Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM.

Shaokai Ye, Xiaoyu Feng, Tianyun Zhang, Xiaolong Ma, Sheng Lin, Zhengang Li, Kaidi Xu, Wujie Wen, Sijia Liu, Jian Tang, Makan Fardad, Xue Lin, Yongpan Liu, Yanzhi Wang

CoRR, 2019

ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization.

Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David D. Cox

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Structured Adversarial Attack: Towards General Implementation and Better Interpretability.

Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin

Proceedings of the 7th International Conference on Learning Representations, 2019

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adversarial Robustness vs. Model Compression, or Both?

Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

ADMM attack: an enhanced adversarial attack for deep neural networks with undetectable distortions.

Pu Zhao, Kaidi Xu, Sijia Liu, Yanzhi Wang, Xue Lin

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

Progressive Weight Pruning of Deep Neural Networks using ADMM.

Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang

CoRR, 2018

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

CoRR, 2018

Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM.

Pu Zhao, Kaidi Xu, Tianyun Zhang, Makan Fardad, Yanzhi Wang, Xue Lin

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Supervised graph hashing for histopathology image retrieval and classification.

Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Yuanpu Xie, Hai Su, Lin Yang

Medical Image Anal., 2017

Asymmetric Discrete Graph Hashing.

Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017