Minhao Cheng

A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning ACL 2026 CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP ACL 2025 Improving Your Model Ranking on Chatbot Arena by Vote Rigging ICML 2025 Is Your Multimodal Language Model Oversensitive to Safe Queries? ICLR 2025 LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing ICML 2025 Safety Reasoning with Guidelines ICML 2025 SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning ICML 2025 The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise ICLR 2025 A Watermark-Conditioned Diffusion Model for IP Protection ECCV 2024 Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective ICLR 2024 DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers EMNLP 2024 GuardEmb: Dynamic Watermark for Safeguarding Large Language Model Embedding Service Against Model Stealing Attack EMNLP 2024 One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts ICML 2024 Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense NeurIPS 2024 When and How do negative prompts take effect? ECCV 2024 Where Am I From? Identifying Origin of LLM-generated Content EMNLP 2024 Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation CVPR 2023 FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning CVPR 2023 Identification of the Adversary from a Single Adversarial Example ICML 2023 PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer EMNLP 2023 Towards Stable Backdoor Purification through Feature Shift Tuning NeurIPS 2023 CAT: Customized Adversarial Training for Improved Robustness IJCAI 2022 Concurrent Adversarial Learning for Large-Batch Training ICLR 2022 Efficient Non-Parametric Optimizer Search for Diverse Tasks NeurIPS 2022 Random Sharpness-Aware Minimization NeurIPS 2022 DrNAS: Dirichlet Neural Architecture Search ICLR 2021 RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving ICCV 2021 Rethinking Architecture Selection in Differentiable NAS ICLR 2021 Self-Progressing Robust Training AAAI 2021 Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples ACL 2020 Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples AAAI 2020 Sign-OPT: A Query-Efficient Hard-label Adversarial Attack ICLR 2020 Evaluating and Enhancing the Robustness of Dialogue Systems: A Case Study on a Negotiation Agent NAACL 2019 On the Robustness of Self-Attentive Models ACL 2019 Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach ICLR 2019 Distributed Primal-Dual Optimization for Non-uniformly Distributed Data IJCAI 2018 Extreme Learning to Rank via Low Rank Assumption ICML 2018 Learning from Group Comparisons: Exploiting Higher Order Interactions NeurIPS 2018 Towards Robust Neural Networks via Random Self-ensemble ECCV 2018