Robustness

On the Convergence of Certified Robust Training with Interval Bound Propagation ICLR 2022 On the power of adaptivity in statistical adversaries COLT 2022 RoboGNN: Robustifying Node Classification under Link Perturbation IJCAI 2022 Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation ICLR 2022 The Missing Invariance Principle found -- the Reciprocal Twin of Invariant Risk Minimization NeurIPS 2022 The MultiBERTs: BERT Reproductions for Robustness Analysis ICLR 2022 Trusted Loss Correction for Noisy Multi-Label Learning ACML 2022 Understanding Simultaneous Train and Test Robustness ALT 2022 Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL ICLR 2022 Adversarially Robust Low Dimensional Representations COLT 2021 Are Transformers more robust than CNNs? NeurIPS 2021 calibrated adversarial training ACML 2021 CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers ICLR 2021 Deep Neural Network Fingerprinting by Conferrable Adversarial Examples ICLR 2021 Defending Multimodal Fusion Models Against Single-Source Adversaries CVPR 2021 Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent ICLR 2021 Improved Estimation of Concentration Under ℓ_p-Norm Distance Metrics Using Half Spaces ICLR 2021 Noise or Signal: The Role of Image Backgrounds in Object Recognition ICLR 2021 Reliability Testing for Natural Language Processing Systems ACL 2021 Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time ICLR 2021 Robust learning under clean-label attack COLT 2021 Robust Reinforcement Learning on State Observations with Learned Optimal Adversary ICLR 2021 A Causal View on Robustness of Neural Networks NeurIPS 2020 A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES ICLR 2020 Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks ICLR 2020