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ORCIDSahil Singla 0002
Person information
- affiliation: University of Maryland, USA
Other persons with the same name
- Sahil Singla 0001
![[0000-0002-8800-6479]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8800-6479")
— Georgia Tech, Atlanta, GA, USA (and 1 more) - Sahil Singla 0003 — Infineon Technologies, Bangalore, India
- Sahil Singla 0004 — BITS Pilani, India
- Sahil Singla 0005 — Google Research, USA
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2020 – today
- 2024
[c14]Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi:
Data-Centric Debugging: mitigating model failures via targeted image retrieval. WACV 2024: 63-74- 2023
- [c13]Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi:
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases. NeurIPS 2023 - 2022
- [b1]Sahil Singla:
Reliable Deep Learning: a Robustness Perspective. University of Maryland, College Park, MD, USA, 2022 - [c12]Sahil Singla, Soheil Feizi:
Salient ImageNet: How to discover spurious features in Deep Learning? ICLR 2022 - [c11]Sahil Singla, Surbhi Singla, Soheil Feizi:
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100. ICLR 2022 - [c10]Sahil Singla, Soheil Feizi:
Improved techniques for deterministic l2 robustness. NeurIPS 2022 - [c9]Mazda Moayeri, Sahil Singla, Soheil Feizi:
Hard ImageNet: Segmentations for Objects with Strong Spurious Cues. NeurIPS 2022 - [i16]Sahil Singla, Mazda Moayeri, Soheil Feizi:
Core Risk Minimization using Salient ImageNet. CoRR abs/2203.15566 (2022) - [i15]Sahil Singla, Soheil Feizi:
Improved techniques for deterministic l2 robustness. CoRR abs/2211.08453 (2022) - [i14]Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi:
Data-Centric Debugging: mitigating model failures via targeted data collection. CoRR abs/2211.09859 (2022) - [i13]Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi:
Spuriosity Rankings: Sorting Data for Spurious Correlation Robustness. CoRR abs/2212.02648 (2022) - 2021
- [c8]Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz:
Understanding Failures of Deep Networks via Robust Feature Extraction. CVPR 2021: 12853-12862 - [c7]Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson:
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. FAccT 2021: 466-477 - [c6]Vasu Singla, Sahil Singla, Soheil Feizi, David Jacobs:
Low Curvature Activations Reduce Overfitting in Adversarial Training. ICCV 2021: 16403-16413 - [c5]Sahil Singla, Soheil Feizi:
Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers. ICLR 2021 - [c4]Cassidy Laidlaw, Sahil Singla, Soheil Feizi:
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models. ICLR 2021 - [c3]Sahil Singla, Soheil Feizi:
Skew Orthogonal Convolutions. ICML 2021: 9756-9766 - [i12]Vasu Singla, Sahil Singla, David Jacobs, Soheil Feizi:
Low Curvature Activations Reduce Overfitting in Adversarial Training. CoRR abs/2102.07861 (2021) - [i11]Sahil Singla, Soheil Feizi:
Skew Orthogonal Convolutions. CoRR abs/2105.11417 (2021) - [i10]Sahil Singla, Surbhi Singla, Soheil Feizi:
Householder Activations for Provable Robustness against Adversarial Attacks. CoRR abs/2108.04062 (2021) - [i9]Sahil Singla, Soheil Feizi:
Causal ImageNet: How to discover spurious features in Deep Learning? CoRR abs/2110.04301 (2021) - 2020
- [c2]Sahil Singla, Soheil Feizi:
Second-Order Provable Defenses against Adversarial Attacks. ICML 2020: 8981-8991 - [i8]Sahil Singla, Soheil Feizi:
Second-Order Provable Defenses against Adversarial Attacks. CoRR abs/2006.00731 (2020) - [i7]Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson:
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. CoRR abs/2006.12621 (2020) - [i6]Cassidy Laidlaw, Sahil Singla, Soheil Feizi:
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models. CoRR abs/2006.12655 (2020) - [i5]Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz:
Understanding Failures of Deep Networks via Robust Feature Extraction. CoRR abs/2012.01750 (2020)
2010 – 2019
- 2019
- [c1]Sahil Singla, Eric Wallace, Shi Feng, Soheil Feizi:
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation. ICML 2019: 5848-5856 - [i4]Sahil Singla, Eric Wallace, Shi Feng, Soheil Feizi:
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation. CoRR abs/1902.00407 (2019) - [i3]Sahil Singla, Soheil Feizi:
Robustness Certificates Against Adversarial Examples for ReLU Networks. CoRR abs/1902.01235 (2019) - [i2]Alexander Levine, Sahil Singla, Soheil Feizi:
Certifiably Robust Interpretation in Deep Learning. CoRR abs/1905.12105 (2019) - [i1]Sahil Singla, Soheil Feizi:
Bounding Singular Values of Convolution Layers. CoRR abs/1911.10258 (2019)
Coauthor Index
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