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Chaowei Xiao

74 papers · 2018–2026 · 13 conferences · across top CS/AI conferences

Achievements

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+16 more ↓ 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🀝 Dynamic Duo (23) πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (71) πŸ† Grand Slam πŸ”¬ Deep Specialist (17) 🧬 Topic Evolution πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (194) ⚑ Prolific Year (8) πŸ’Ž Century Club (71) πŸ”₯ Unstoppable (8) ❓ The Questioner (3) πŸ“ˆ Trend Setter

Conferences

ICLR (18) NIPS (11) NAACL (9) ECCV (8) ACL (7) ICML (7) CVPR (5) EMNLP (3) ICCV (2) AAAI (1) CORL (1) IJCAI (1) WACV (1)

Papers

Can Editing LLMs Inject Harm? AAAI 2026 Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks ACL 2026 Defenses Against Prompt Attacks Learn Surface Heuristics ACL 2026 T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching ICLR 2025 AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs ICLR 2025 Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset ICLR 2025 Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations NAACL 2025 Can Watermarks be Used to Detect LLM IP Infringement For Free? ICLR 2025 MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines ICML 2025 Sample-specific Noise Injection for Diffusion-based Adversarial Purification ICML 2025 RePD: Defending Jailbreak Attack through a Retrieval-based Prompt Decomposition Process NAACL 2025 AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety Detection ACL 2025 SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment ACL 2025 PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for Free ACL 2025 Robust Representation Consistency Model via Contrastive Denoising ICLR 2025 EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE ICLR 2025 MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding ICLR 2025 DataGen: Unified Synthetic Dataset Generation via Large Language Models ICLR 2025 CVE-Bench: Benchmarking LLM-based Software Engineering Agent’s Ability to Repair Real-World CVE Vulnerabilities NAACL 2025 LeanAgent: Lifelong Learning for Formal Theorem Proving ICLR 2025 Instructional Fingerprinting of Large Language Models NAACL 2024 BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment NIPS 2024 HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection NIPS 2024 Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness NIPS 2024 AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases NIPS 2024 RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models ACL 2024 PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees CVPR 2024 AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting ECCV 2024 Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation ECCV 2024 Dolphins: Multimodal Language Model for Driving ECCV 2024 RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios ECCV 2024 AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models ICLR 2024 Conversational Drug Editing Using Retrieval and Domain Feedback ICLR 2024 CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception ICLR 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 From Shortcuts to Triggers: Backdoor Defense with Denoised PoE NAACL 2024 ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger NAACL 2024 Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models NAACL 2024 Combating Security and Privacy Issues in the Era of Large Language Models NAACL 2024 Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking NAACL 2024 Differentially Private Video Activity Recognition WACV 2024 Retrieval-based Controllable Molecule Generation ICLR 2023 Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study EMNLP 2023 Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency CVPR 2023 VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion CVPR 2023 A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification ICML 2023 CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models ICML 2023 On the Exploitability of Instruction Tuning NIPS 2023 Defending against Insertion-based Textual Backdoor Attacks via Attribution ACL 2023 HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings EMNLP 2023 Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning EMNLP 2023 DensePure: Understanding Diffusion Models for Adversarial Robustness ICLR 2023 Defending against Adversarial Audio via Diffusion Model ICLR 2023 Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models NIPS 2022 Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models NIPS 2022 RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning ICLR 2022 Understanding The Robustness in Vision Transformers ICML 2022 AdvDO: Realistic Adversarial Attacks for Trajectory Prediction ECCV 2022 SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination ECCV 2022 Robust Trajectory Prediction against Adversarial Attacks CORL 2022 Diffusion Models for Adversarial Purification ICML 2022 Long-Short Transformer: Efficient Transformers for Language and Vision NIPS 2021 Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings? ICCV 2021 Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions NIPS 2021 AugMax: Adversarial Composition of Random Augmentations for Robust Training NIPS 2021 Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations NIPS 2020 SemanticAdv: Generating Adversarial Examples via Attribute-conditioned Image Editing ECCV 2020 Towards Stable and Efficient Training of Verifiably Robust Neural Networks ICLR 2020 AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos ICCV 2019 MeshAdv: Adversarial Meshes for Visual Recognition CVPR 2019 Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation ECCV 2018 Spatially Transformed Adversarial Examples ICLR 2018 Robust Physical-World Attacks on Deep Learning Visual Classification CVPR 2018 Generating Adversarial Examples with Adversarial Networks IJCAI 2018