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Papers
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
ICML 2022
Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach
L4DC 2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
CoRL 2022
Robust Optimal Classification Trees against Adversarial Examples
AAAI 2022
Robust Probabilistic Time Series Forecasting
AISTATS 2022
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
AISTATS 2022
RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining
ACL 2022
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing
NeurIPS 2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models
EMNLP 2022
Self-Healing Robust Neural Networks via Closed-Loop Control
JMLR 2022
Self-Joint Supervised Learning
ICLR 2022
Semantically Distributed Robust Optimization for Vision-and-Language Inference
ACL 2022
Semantic-Preserving Adversarial Code Comprehension
COLING 2022
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness
AISTATS 2022
Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds
AAAI 2022
Sibylvariant Transformations for Robust Text Classification
ACL 2022
Spectral Robustness for Correlation Clustering Reconstruction in Semi-Adversarial Models
AISTATS 2022
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness
NeurIPS 2022
The King Is Naked: On the Notion of Robustness for Natural Language Processing
AAAI 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
ICLR 2022
Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations
AISTATS 2022
Toward Efficient Robust Training against Union of ℓ_p Threat Models
NeurIPS 2022
Toward Robust Spiking Neural Network Against Adversarial Perturbation
NeurIPS 2022
Towards Adversarially Robust Deep Image Denoising
IJCAI 2022
Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples
ACL 2022