← Authors

Yinpeng Dong

61 papers · 2016–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (7) πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) 🀝 Dynamic Duo (39) πŸ‘₯ Mega-Team (35) πŸ”¬ Deep Specialist (23) 🧬 Topic Evolution ❓ The Questioner ⚑ Prolific Year (16) πŸ—ƒοΈ Keyword Collector (235) πŸ“ˆ Trend Setter πŸ’Ž Century Club (59) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (10)

Conferences

CVPR (16) NIPS (15) ICML (7) ICCV (6) ICLR (5) AAAI (3) ECCV (3) IJCAI (2) NAACL (2) ACL (1) EMNLP (1)

Top co-authors

Jun Zhu (40) Hang Su (38) Xiao Yang (21) Tianyu Pang (16) Xingxing Wei (10) Shouwei Ruan (8) Yao Huang (7) Yichi Zhang (7) Huanran Chen (6) Zhijie Deng (5)

Research topics

Privacy (3)

Keywords

adversarial attack (13) adversarial robustness (8) adversarial training (7) large language model (5) face recognition (4) adversarial example (4) black-box attack (4) generative model (4) neural network (4) adversarial defense (4) jailbreak attack (3) adversarial learning (3) autonomous driving (3) diffusion model (3) transfer learning (3) model robustness (3) image classification (3) multimodal learning (3) benchmark evaluation (3) convolutional neural network (3)

Papers

Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding AAAI 2026
Any2Critical: Safety-Critical Scenario Generation from Arbitrary Real-World Driving Contexts AAAI 2026
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability NAACL 2025
Exploring the Generalizability of Factual Hallucination Mitigation via Enhancing Precise Knowledge Utilization EMNLP 2025
STAIR: Improving Safety Alignment with Introspective Reasoning ICML 2025
Breaking the Ceiling: Exploring the Potential of Jailbreak Attacks through Expanding Strategy Space ACL 2025
AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations? ICCV 2025
Efficient Input-level Backdoor Defense on Text-to-Image Synthesis via Neuron Activation Variation ICCV 2025
AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization via Multi-LLMs NAACL 2025
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models ECCV 2024
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models NIPS 2024
Diffusion Models are Certifiably Robust Classifiers NIPS 2024
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models NIPS 2024
Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective NIPS 2024
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy NIPS 2024
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning ICML 2024
Robust Classification via a Single Diffusion Model ICML 2024
Rethinking Model Ensemble in Transfer-based Adversarial Attacks ICLR 2024
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches ICLR 2024
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training CVPR 2024
Towards Transferable Targeted 3D Adversarial Attack in the Physical World CVPR 2024
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models CVPR 2024
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks ECCV 2024
Toward Availability Attacks in 3D Point Clouds ICML 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior ICML 2024
Understanding the Robustness of 3D Object Detection With Bird's-Eye-View Representations in Autonomous Driving CVPR 2023
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training ICCV 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction NIPS 2023
GNOT: A General Neural Operator Transformer for Operator Learning ICML 2023
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition CVPR 2023
Compacting Binary Neural Networks by Sparse Kernel Selection CVPR 2023
Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos ICCV 2023
Benchmarking Robustness of 3D Object Detection to Common Corruptions CVPR 2023
Isometric 3D Adversarial Examples in the Physical World NIPS 2022
Pre-trained Adversarial Perturbations NIPS 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints NIPS 2022
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart CVPR 2022
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks ECCV 2022
Exploring Memorization in Adversarial Training ICLR 2022
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing ICML 2022
Improving Transferability of Adversarial Patches on Face Recognition With Generative Models CVPR 2021
Bag of Tricks for Adversarial Training ICLR 2021
Accumulative Poisoning Attacks on Real-time Data NIPS 2021
Towards Face Encryption by Generating Adversarial Identity Masks ICCV 2021
Black-Box Detection of Backdoor Attacks With Limited Information and Data ICCV 2021
Boosting Adversarial Training with Hypersphere Embedding NIPS 2020
Adversarial Distributional Training for Robust Deep Learning NIPS 2020
Benchmarking Adversarial Robustness on Image Classification CVPR 2020
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness ICLR 2020
Understanding and Exploring the Network with Stochastic Architectures NIPS 2020
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition CVPR 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks CVPR 2019
Composite Binary Decomposition Networks AAAI 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior NIPS 2019
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser CVPR 2018
Towards Robust Detection of Adversarial Examples NIPS 2018
Boosting Adversarial Attacks With Momentum CVPR 2018
Learning Visual Knowledge Memory Networks for Visual Question Answering CVPR 2018
Improving Interpretability of Deep Neural Networks With Semantic Information CVPR 2017
Forecast the Plausible Paths in Crowd Scenes IJCAI 2017
Crowd Scene Understanding with Coherent Recurrent Neural Networks IJCAI 2016