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2020 – today
- 2024
[c14]Kai Hu, Klas Leino, Zifan Wang, Matt Fredrikson:
A Recipe for Improved Certifiable Robustness. ICLR 2024- 2023
- [c13]Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina S. Pasareanu, Matt Fredrikson:
On the Perils of Cascading Robust Classifiers. ICLR 2023 - [c12]Kai Hu, Andy Zou, Zifan Wang, Klas Leino, Matt Fredrikson:
Unlocking Deterministic Robustness Certification on ImageNet. NeurIPS 2023 - [i14]Klas Leino:
Limitations of Piecewise Linearity for Efficient Robustness Certification. CoRR abs/2301.08842 (2023) - [i13]Kai Hu, Andy Zou, Zifan Wang, Klas Leino, Matt Fredrikson
:
Scaling in Depth: Unlocking Robustness Certification on ImageNet. CoRR abs/2301.12549 (2023) - [i12]Kai Hu, Klas Leino, Zifan Wang, Matt Fredrikson:
A Recipe for Improved Certifiable Robustness: Capacity and Data. CoRR abs/2310.02513 (2023) - [i11]Ravi Mangal, Klas Leino, Zifan Wang, Kai Hu, Weicheng Yu, Corina S. Pasareanu, Anupam Datta, Matt Fredrikson:
Is Certifying 𝓁p Robustness Still Worthwhile? CoRR abs/2310.09361 (2023) - 2022
- [j1]Klas Leino, Chi Zhang, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu:
Degradation Attacks on Certifiably Robust Neural Networks. Trans. Mach. Learn. Res. 2022 (2022) - [c11]Klas Leino, Aymeric Fromherz, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu:
Self-correcting Neural Networks for Safe Classification. NSV/FoMLAS@CAV 2022: 96-130 - [c10]Emily Black, Klas Leino, Matt Fredrikson:
Selective Ensembles for Consistent Predictions. ICLR 2022 - [i10]Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina S. Pasareanu, Matt Fredrikson:
On the Perils of Cascading Robust Classifiers. CoRR abs/2206.00278 (2022) - 2021
- [c9]Aymeric Fromherz, Klas Leino, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu:
Fast Geometric Projections for Local Robustness Certification. ICLR 2021 - [c8]Klas Leino, Zifan Wang, Matt Fredrikson:
Globally-Robust Neural Networks. ICML 2021: 6212-6222 - [c7]Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang:
Machine Learning Explainability and Robustness: Connected at the Hip. KDD 2021: 4035-4036 - [c6]Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Ricardo Shih, Zifan Wang:
Exploring Conceptual Soundness with TruLens. NeurIPS (Competition and Demos) 2021: 302-307 - [c5]Klas Leino, Matt Fredrikson:
Relaxing Local Robustness. NeurIPS 2021: 17072-17083 - [i9]Klas Leino, Zifan Wang, Matt Fredrikson:
Globally-Robust Neural Networks. CoRR abs/2102.08452 (2021) - [i8]Klas Leino, Matt Fredrikson:
Relaxing Local Robustness. CoRR abs/2106.06624 (2021) - [i7]Klas Leino, Aymeric Fromherz, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu:
Self-Repairing Neural Networks: Provable Safety for Deep Networks via Dynamic Repair. CoRR abs/2107.11445 (2021) - [i6]Emily Black, Klas Leino, Matt Fredrikson:
Selective Ensembles for Consistent Predictions. CoRR abs/2111.08230 (2021) - 2020
- [c4]Kaiji Lu, Piotr Mardziel, Klas Leino, Matt Fredrikson, Anupam Datta:
Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models. ACL 2020: 4748-4757 - [c3]Klas Leino, Matt Fredrikson:
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference. USENIX Security Symposium 2020: 1605-1622 - [i5]Aymeric Fromherz, Klas Leino, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu:
Fast Geometric Projections for Local Robustness Certification. CoRR abs/2002.04742 (2020) - [i4]Kaiji Lu, Piotr Mardziel, Klas Leino, Matt Fredrikson, Anupam Datta:
Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models. CoRR abs/2005.01190 (2020)
2010 – 2019
- 2019
- [c2]Klas Leino, Emily Black, Matt Fredrikson, Shayak Sen, Anupam Datta:
Feature-Wise Bias Amplification. ICLR (Poster) 2019 - [i3]Klas Leino, Matt Fredrikson:
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference. CoRR abs/1906.11798 (2019) - 2018
- [c1]Klas Leino, Shayak Sen, Anupam Datta, Matt Fredrikson, Linyi Li:
Influence-Directed Explanations for Deep Convolutional Networks. ITC 2018: 1-8 - [i2]Klas Leino, Linyi Li, Shayak Sen, Anupam Datta, Matt Fredrikson:
Influence-Directed Explanations for Deep Convolutional Networks. CoRR abs/1802.03788 (2018) - [i1]Klas Leino, Matt Fredrikson, Emily Black, Shayak Sen, Anupam Datta:
Feature-Wise Bias Amplification. CoRR abs/1812.08999 (2018)
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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