Rethinking and improving robustness of convolutional neural networks: a shapley value-based approach in frequency domain Y Chen, Q Ren, J Yan Advances in Neural Information Processing Systems 35, 324-337, 2022 | 14 | 2022 |
Appearance and structure aware robust deep visual graph matching: Attack, defense and beyond Q Ren, Q Bao, R Wang, J Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 13 | 2022 |
Roco: A general framework for evaluating robustness of combinatorial optimization solvers on graphs H Lu, Z Li, R Wang, Q Ren, X Li, M Yuan, J Zeng, X Yang, J Yan The Eleventh International Conference on Learning Representations, 2022 | 12 | 2022 |
Dice: Domain-attack invariant causal learning for improved data privacy protection and adversarial robustness Q Ren, Y Chen, Y Mo, Q Wu, J Yan Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 6 | 2022 |
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities C Lu, C Qian, G Zheng, H Fan, H Gao, J Zhang, J Shao, J Deng, J Fu, ... arXiv preprint arXiv:2401.15071, 2024 | 2 | 2024 |
Mind your solver! on adversarial attack and defense for combinatorial optimization H Lu, Z Li, R Wang, Q Ren, J Yan, Z Hua, G Liu, JUN ZHOU, X Yang | 2 | 2021 |
Exploring Safety Generalization Challenges of Large Language Models via Code Q Ren, C Gao, J Shao, J Yan, X Tan, W Lam, L Ma arXiv preprint arXiv:2403.07865, 2024 | | 2024 |
Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range H Shao, L Wang, Y Wang, Q Ren, J Yan | | 2023 |
Certified Robustness on Structural Graph Matching H Shao, L Wang, Y Wang, Q Ren, J Yan | | 2022 |
A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs H Lu, Z Li, R Wang, Q Ren, J Yan, X Yang arXiv preprint arXiv:2201.00402, 2021 | | 2021 |
Adversarial Robustness via Adaptive Label Smoothing Q Ren, L Shi, L Wang, J Yan | | 2021 |