Sahil Singla

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

High Robustness

Denial Of Service Attacks

Top Venues

Publications

Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi
Data-Centric Debugging: mitigating model failures via targeted image retrieval. WACV (2024)
Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases. NeurIPS (2023)
Sahil Singla, Soheil Feizi
Improved techniques for deterministic l2 robustness. CoRR (2022)
Sahil Singla, Atoosa Malemir Chegini, Mazda Moayeri, Soheil Feizi
Data-Centric Debugging: mitigating model failures via targeted data collection. CoRR (2022)
Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi
Spuriosity Rankings: Sorting Data for Spurious Correlation Robustness. CoRR (2022)
Sahil Singla, Mazda Moayeri, Soheil Feizi
Core Risk Minimization using Salient ImageNet. CoRR (2022)
Mazda Moayeri, Sahil Singla, Soheil Feizi
Hard ImageNet: Segmentations for Objects with Strong Spurious Cues. NeurIPS (2022)
Sahil Singla, Surbhi Singla, Soheil Feizi
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100. ICLR (2022)
Sahil Singla, Soheil Feizi
Improved techniques for deterministic l2 robustness. NeurIPS (2022)
Sahil Singla, Soheil Feizi
Salient ImageNet: How to discover spurious features in Deep Learning? ICLR (2022)
Sahil Singla, Soheil Feizi
Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers. ICLR (2021)
Sahil Singla, Soheil Feizi
Skew Orthogonal Convolutions. ICML (2021)
Sahil Singla, Soheil Feizi
Causal ImageNet: How to discover spurious features in Deep Learning? CoRR (2021)
Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. FAccT (2021)
Sahil Singla, Soheil Feizi
Skew Orthogonal Convolutions. CoRR (2021)
Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
Understanding Failures of Deep Networks via Robust Feature Extraction. CVPR (2021)
Vasu Singla, Sahil Singla, Soheil Feizi, David Jacobs
Low Curvature Activations Reduce Overfitting in Adversarial Training. ICCV (2021)
Vasu Singla, Sahil Singla, David Jacobs, Soheil Feizi
Low Curvature Activations Reduce Overfitting in Adversarial Training. CoRR (2021)
Sahil Singla, Surbhi Singla, Soheil Feizi
Householder Activations for Provable Robustness against Adversarial Attacks. CoRR (2021)
Cassidy Laidlaw, Sahil Singla, Soheil Feizi
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models. ICLR (2021)
Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz
Understanding Failures of Deep Networks via Robust Feature Extraction. CoRR (2020)
Vedant Nanda, Samuel Dooley, Sahil Singla, Soheil Feizi, John P. Dickerson
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. CoRR (2020)
Cassidy Laidlaw, Sahil Singla, Soheil Feizi
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models. CoRR (2020)
Sahil Singla, Soheil Feizi
Second-Order Provable Defenses against Adversarial Attacks. ICML (2020)
Sahil Singla, Soheil Feizi
Second-Order Provable Defenses against Adversarial Attacks. CoRR (2020)
Alexander Levine, Sahil Singla, Soheil Feizi
Certifiably Robust Interpretation in Deep Learning. CoRR (2019)
Sahil Singla, Soheil Feizi
Robustness Certificates Against Adversarial Examples for ReLU Networks. CoRR (2019)
Sahil Singla, Eric Wallace, Shi Feng, Soheil Feizi
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation. ICML (2019)
Sahil Singla, Eric Wallace, Shi Feng, Soheil Feizi
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation. CoRR (2019)
Sahil Singla, Soheil Feizi
Bounding Singular Values of Convolution Layers. CoRR (2019)