Score-CAM: Score-weighted visual explanations for convolutional neural networks H Wang, Z Wang, M Du, F Yang, Z Zhang, S Ding, P Mardziel, X Hu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
743 2020 Globally-Robust Neural Networks K Leino, Z Wang, M Fredrikson
Proceedings of ICML 2021, 2021
97 2021 Universal and transferable adversarial attacks on aligned language models A Zou, Z Wang, JZ Kolter, M Fredrikson
arXiv preprint arXiv:2307.15043, 2023
80 2023 Smoothed Geometry for Robust Attribution Z Wang, H Wang, S Ramkumar, M Fredrikson, P Mardziel, A Datta
Proceedings of NeurIPS 2020, 2020
44 2020 Towards frequency-based explanation for robust cnn Z Wang, Y Yang, A Shrivastava, V Rawal, Z Ding
arXiv preprint arXiv:2005.03141, 2020
38 2020 Consistent counterfactuals for deep models E Black, Z Wang, M Fredrikson, A Datta
arXiv preprint arXiv:2110.03109, 2021
22 2021 Interpreting interpretations: Organizing attribution methods by criteria Z Wang, P Mardziel, A Datta, M Fredrikson
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
16 2020 Robust models are more interpretable because attributions look normal Z Wang, M Fredrikson, A Datta
arXiv preprint arXiv:2103.11257, 2021
9 2021 Influence Patterns for Explaining Information Flow in BERT K Lu, Z Wang, P Mardziel, A Datta
arXiv preprint arXiv:2011.00740, 2020
9 2020 Representation engineering: A top-down approach to ai transparency A Zou, L Phan, S Chen, J Campbell, P Guo, R Ren, A Pan, X Yin, ...
arXiv preprint arXiv:2310.01405, 2023
7 2023 Machine learning explainability and robustness: connected at the hip A Datta, M Fredrikson, K Leino, K Lu, S Sen, Z Wang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
6 2021 Reconstructing Actions To Explain Deep Reinforcement Learning X Chen, Z Wang, Y Fan, B Jin, P Mardziel, C Joe-Wong, A Datta
arXiv preprint arXiv:2009.08507, 2020
5 * 2020 Scaling in Depth: Unlocking Robustness Certification on ImageNet K Hu, A Zou, Z Wang, K Leino, M Fredrikson
arXiv preprint arXiv:2301.12549, 2023
3 2023 Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization Z Wang, N Ding, T Levinboim, X Chen, R Soricut
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
3 2023 Learning Modulo Theories M Fredrikson, K Lu, S Vijayakumar, S Jha, V Ganesh, Z Wang
arXiv preprint arXiv:2301.11435, 2023
2 2023 A Recipe for Improved Certifiable Robustness: Capacity and Data K Hu, K Leino, Z Wang, M Fredrikson
arXiv preprint arXiv:2310.02513, 2023
1 2023 Transfer Attacks and Defenses for Large Language Models on Coding Tasks C Zhang, Z Wang, R Mangal, M Fredrikson, L Jia, C Pasareanu
arXiv preprint arXiv:2311.13445, 2023
2023 Grounding Neural Inference with Satisfiability Modulo Theories Z Wang, S Vijayakumar, K Lu, V Ganesh, S Jha, M Fredrikson
Thirty-seventh Conference on Neural Information Processing Systems, 2023
2023 Unlocking Deterministic Robustness Certification on ImageNet K Hu, A Zou, Z Wang, K Leino, M Fredrikson
Thirty-seventh Conference on Neural Information Processing Systems, 2023
2023 Is Certifying R Mangal, K Leino, Z Wang, K Hu, W Yu, C Pasareanu, A Datta, ...
arXiv preprint arXiv:2310.09361, 2023
2023 