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Minhao Cheng

39 papers · 2018–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (10)
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Conferences

ICLR (8) ICML (7) NIPS (5) ACL (4) EMNLP (4) ECCV (3) AAAI (2) CVPR (2) IJCAI (2) ICCV (1) NAACL (1)

Top co-authors

Cho-jui Hsieh (25) Ruochen Wang (10) Pin-Yu Chen (6) Xiangning Chen (5) Rui Min (5) Tianyi Zhou (5) Yang You (3) Xiaocheng Tang (3) Li Shen (3) Huan Zhang (3)

Research topics

Differential Privacy (1) Privacy (1)

Keywords

adversarial training (6) adversarial attack (4) adversarial robustness (4) adversarial example (4) deep neural network (3) large language model (3) backdoor attack (2) neural network (2) machine translation (2) backdoor defense (2) learning to rank (2) hyperparameter optimization (1) robust optimization (1) model robustness (1) natural language processing (1) sentiment analysis (1) adversarial learning (1) differential privacy (1) neural network training (1) prompt engineering (1)

Papers

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