Chao Shen

Can Reasoning Path still be Effective as Input? Bridging Post-Reasoning to Chain-of-Thought Compression ACL 2026 Confidence Should Be Calibrated More Than One Turn Deep ACL 2026 False Friends in the Shell: Unveiling the Emoticon Semantic Confusion in Large Language Models ACL 2026 From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning AAAI 2026 Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data AAAI 2026 When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm CVPR 2026 An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as Optimizer NAACL 2025 CALM: Curiosity-Driven Auditing for Large Language Models AAAI 2025 D3: Training-Free AI-Generated Video Detection Using Second-Order Features ICCV 2025 Enhancing Mathematical Reasoning in LLMs by Stepwise Correction ACL 2025 Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement CVPR 2025 Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path AAAI 2025 Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training ACL 2025 Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection CVPR 2025 Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights ICCV 2025 Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model CVPR 2025 STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning ICLR 2025 The Invisible Hand: Unveiling Provider Bias in Large Language Models for Code Generation ACL 2025 Breaking Semantic Artifacts for Generalized AI-generated Image Detection NeurIPS 2024 Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval ICML 2024 Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models NeurIPS 2024 Constrained Intrinsic Motivation for Reinforcement Learning IJCAI 2024 Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning AAAI 2024 Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better ACL 2024 Get an A in Math: Progressive Rectification Prompting AAAI 2024 Instructing Large Language Models to Identify and Ignore Irrelevant Conditions NAACL 2024 Large Language Models Can Self-Correct with Key Condition Verification EMNLP 2024 Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving CVPR 2024 SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples AAAI 2024 Speech-Forensics: Towards Comprehensive Synthetic Speech Dataset Establishment and Analysis IJCAI 2024 StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation EMNLP 2024 Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks ACL 2024 CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning EMNLP 2023 Learning Heuristically-Selected and Neurally-Guided Feature for Age Group Recognition Using Unconstrained Smartphone Interaction IJCAI 2023 Amplifying Membership Exposure via Data Poisoning NeurIPS 2022 BackdoorBench: A Comprehensive Benchmark of Backdoor Learning NeurIPS 2022 Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing JMLR 2022 CARTL: Cooperative Adversarially-Robust Transfer Learning ICML 2021 A Participant-based Approach for Event Summarization Using Twitter Streams NAACL 2013 A Non-negative Matrix Factorization Based Approach for Active Dual Supervision from Document and Word Labels EMNLP 2011 Multi-Document Summarization via the Minimum Dominating Set COLING 2010