Kaidi Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
51
Venues
22
Active years
2017–2026
Best venue rank
A*
Where they publish
- A*ICML6 papers
- A*CVPR5 papers
- A*AAAI4 papers
- A*ACL4 papers
- A*ICCV4 papers
- A*ICLR4 papers
- A*EMNLP3 papers
- ANAACL3 papers
- A*ECCV2 papers
- BVTC2 papers
- ABMVC2 papers
- A*IJCAI2 papers
- AAIED1 paper
- AEACL1 paper
- BIWQoS1 paper
- A*NDSS1 paper
- A*SP1 paper
- A*CCS1 paper
- AWACV1 paper
- MulticonferenceICASSP1 paper
- BASPDAC1 paper
- AFPGA1 paper
Papers
51 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees. | Zhiyuan Wang, Jinhao Duan, Qingni Wang, Xiaofeng Zhu, Tianlong Chen, Xiaoshuang Shi, Kaidi Xu |
| 2026 | AAAI | Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions. | Xiaoyun Zhang, Zhengyue Zhao, Wenxuan Shi, Kaidi Xu, Di Huang, Xing Hu |
| 2026 | ACL | IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation. | Haozhi Fan, Jinhao Duan, Kaidi Xu |
| 2026 | AIED | Can Multimodal LLMs 'See' Science Instruction? Benchmarking Pedagogical Reasoning in K-12 Classroom Videos. | Yixuan Shen, Peng He, Honglu Liu, Jinxuan Fan, Yuyang Ji, Tingting Li, Tianlong Chen, Kaidi Xu, Feng Liu |
| 2026 | EACL | Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations. | Zijie Liu, Xinyu Zhao, Jie Peng, Jinhao Duan, Zhuangdi Zhu, Qingyu Chen, Kaidi Xu, Xia Hu, Tianlong Chen |
| 2026 | IWQoS | The Imitation Game: Using Large Language Models to Disrupt Chinese Chat-Based Cybercrime. | Yifan Yao, Baojuan Wang, Jinhao Duan, Kaidi Xu, ChuanKai Guo, Zhibo Eric Sun, Yue Zhang |
| 2025 | ACL | DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation. | Wenhao Hu, Jinhao Duan, Chunchen Wei, Li Zhang, Yue Zhang, Kaidi Xu |
| 2025 | ACL | SConU: Selective Conformal Uncertainty in Large Language Models. | Zhiyuan Wang, Qingni Wang, Yue Zhang, Tianlong Chen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu |
| 2025 | CVPR | Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models. | Hao Cheng, Erjia Xiao, Jiayan Yang, Jiahang Cao, Qiang Zhang, Jize Zhang, Kaidi Xu, Jindong Gu, Renjing Xu |
| 2025 | EMNLP | MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models. | Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding |
| 2025 | EMNLP | Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs. | Zhuoxuan Zhang, Jinhao Duan, Edward Kim, Kaidi Xu |
| 2025 | ICCV | TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination via Latent Truthful-Guided Pre-Intervention. | Jinhao Duan, Fei Kong, Hao Cheng, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu |
| 2025 | ICML | Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach. | Xu Zhang, Kaidi Xu, Ziqing Hu, Ren Wang |
| 2025 | NAACL | DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization. | Pucheng Dang, Xing Hu, Dong Li, Rui Zhang, Qi Guo, Kaidi Xu |
| 2025 | NAACL | GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. | Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu |
| 2025 | NDSS | Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective. | Ningfei Wang, Shaoyuan Xie, Takami Sato, Yunpeng Luo, Kaidi Xu, Qi Alfred Chen |
| 2025 | SP | Make a Feint to the East While Attacking in the West: Blinding LLM-Based Code Auditors with Flashboom Attacks. | Xiao Li, Yue Li, Hao Wu, Yue Zhang, Kaidi Xu, Xiuzhen Cheng, Sheng Zhong, Fengyuan Xu |
| 2024 | AAAI | Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. | Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun |
| 2024 | ACL | Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models. | Jinhao Duan, Hao Cheng, Shiqi Wang, Alex Zavalny, Chenan Wang, Renjing Xu, Bhavya Kailkhura, Kaidi Xu |
| 2024 | CVPR | E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data. | Aref Azizpour, Tai D. Nguyen, Manil Shrestha, Kaidi Xu, Edward Kim, Matthew C. Stamm |
| 2024 | CVPR | ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. | Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu |
| 2024 | CVPR | Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? | Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu |
| 2024 | ECCV | Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models. | Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu |
| 2024 | EMNLP | ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees. | Zhiyuan Wang, Jinhao Duan, Lu Cheng, Yue Zhang, Qingni Wang, Xiaoshuang Shi, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu |
| 2024 | ICLR | An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization. | Fei Kong, Jinhao Duan, Ruipeng Ma, Heng Tao Shen, Xiaoshuang Shi, Xiaofeng Zhu, Kaidi Xu |
| 2024 | ICML | 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 Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, 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, Joaquin Vanschoren, John C. 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, Yong Chen, Yue Zhao |
| 2024 | NAACL | ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models. | Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu |
| 2024 | VTC | Federated Reinforcement Learning for Resource Allocation in V2X Networks. | Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li |
| 2024 | VTC | Communication-Efficient Decentralized Federated Learning via One-Bit Compressive Sensing. | Shenglong Zhou, Kaidi Xu, Geoffrey Ye Li |
| 2023 | BMVC | 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 |
| 2023 | BMVC | Semantic Adversarial Attacks via Diffusion Models. | Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu |
| 2023 | ICCV | 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 |
| 2023 | ICML | Are Diffusion Models Vulnerable to Membership Inference Attacks? | Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu |
| 2023 | IJCAI | Improve Video Representation with Temporal Adversarial Augmentation. | Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu |
| 2022 | CCS | 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 |
| 2022 | ICML | 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 |
| 2022 | WACV | 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 |
| 2021 | ICLR | 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 |
| 2021 | ICLR | 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 |
| 2020 | CVPR | 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 |
| 2020 | ECCV | 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 |
| 2020 | ICASSP | 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 |
| 2020 | ICML | 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 |
| 2019 | ASPDAC | ADMM attack: an enhanced adversarial attack for deep neural networks with undetectable distortions. | Pu Zhao, Kaidi Xu, Sijia Liu, Yanzhi Wang, Xue Lin |
| 2019 | FPGA | 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 |
| 2019 | ICCV | 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 |
| 2019 | ICCV | 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 |
| 2019 | ICLR | 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 |
| 2019 | IJCAI | 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 |
| 2017 | AAAI | Asymmetric Discrete Graph Hashing. | Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang |