Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation. - Sahil Singla 002; Eric Wallace; Shi Feng 005; Soheil Feizi (ICML, 2019)

Robustness Certificates Against Adversarial Examples for ReLU Networks. - Sahil Singla 002; Soheil Feizi (CoRR, 2019)

Certifiably Robust Interpretation in Deep Learning. - Alexander Levine 001; Sahil Singla 002; Soheil Feizi (CoRR, 2019)

Bounding Singular Values of Convolution Layers. - Sahil Singla 002; Soheil Feizi (CoRR, 2019)

Second-Order Provable Defenses against Adversarial Attacks. - Sahil Singla 002; Soheil Feizi (ICML, 2020)

Understanding Failures of Deep Networks via Robust Feature Extraction. - Sahil Singla 002; Besmira Nushi; Shital Shah; Ece Kamar; Eric Horvitz (CVPR, 2021)

Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning. - Vedant Nanda; Samuel Dooley; Sahil Singla 002; Soheil Feizi; John P. Dickerson (FAccT, 2021)

Low Curvature Activations Reduce Overfitting in Adversarial Training. - Vasu Singla; Sahil Singla 002; Soheil Feizi; David Jacobs 001 (ICCV, 2021)

Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers. - Sahil Singla 002; Soheil Feizi (ICLR, 2021)

Perceptual Adversarial Robustness: Defense Against Unseen Threat Models. - Cassidy Laidlaw; Sahil Singla 002; Soheil Feizi (ICLR, 2021)

Skew Orthogonal Convolutions. - Sahil Singla 002; Soheil Feizi (ICML, 2021)

Householder Activations for Provable Robustness against Adversarial Attacks. - Sahil Singla 002; Surbhi Singla; Soheil Feizi (CoRR, 2021)

Causal ImageNet: How to discover spurious features in Deep Learning? - Sahil Singla 002; Soheil Feizi (CoRR, 2021)

Salient ImageNet: How to discover spurious features in Deep Learning? - Sahil Singla 002; Soheil Feizi (ICLR, 2022)

Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100. - Sahil Singla 002; Surbhi Singla; Soheil Feizi (ICLR, 2022)

Improved techniques for deterministic l2 robustness. - Sahil Singla 002; Soheil Feizi (NeurIPS, 2022)

Hard ImageNet: Segmentations for Objects with Strong Spurious Cues. - Mazda Moayeri; Sahil Singla 002; Soheil Feizi (NeurIPS, 2022)

Core Risk Minimization using Salient ImageNet. - Sahil Singla 002; Mazda Moayeri; Soheil Feizi (CoRR, 2022)

Data-Centric Debugging: mitigating model failures via targeted data collection. - Sahil Singla 002; Atoosa Malemir Chegini; Mazda Moayeri; Soheil Feizi (CoRR, 2022)

Spuriosity Rankings: Sorting Data for Spurious Correlation Robustness. - Mazda Moayeri; Wenxiao Wang 002; Sahil Singla 002; Soheil Feizi (CoRR, 2022)

Reliable Deep Learning: a Robustness Perspective. - Sahil Singla 002 (2022)

Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases. - Mazda Moayeri; Wenxiao Wang 002; Sahil Singla 002; Soheil Feizi (NeurIPS, 2023)

Data-Centric Debugging: mitigating model failures via targeted image retrieval. - Sahil Singla 002; Atoosa Malemir Chegini; Mazda Moayeri; Soheil Feizi (WACV, 2024)