Adversarial Learning

Bi-Level Alignment for Cross-Domain Crowd Counting CVPR 2022 BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples EMNLP 2022 Blackbox Attacks via Surrogate Ensemble Search NeurIPS 2022 Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs AAAI 2022 Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness NeurIPS 2022 Boosting Black-Box Attack With Partially Transferred Conditional Adversarial Distribution CVPR 2022 Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation NeurIPS 2022 Boosting the Transferability of Video Adversarial Examples via Temporal Translation AAAI 2022 Bounded Adversarial Attack on Deep Content Features CVPR 2022 Bounded Memory Adversarial Bandits with Composite Anonymous Delayed Feedback IJCAI 2022 BppAttack: Stealthy and Efficient Trojan Attacks Against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning CVPR 2022 Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers NeurIPS 2022 Building Robust Ensembles via Margin Boosting ICML 2022 Byzantine Spectral Ranking NeurIPS 2022 CAISA@SMM4H’22: Robust Cross-Lingual Detection of Disease Mentions on Social Media with Adversarial Methods COLING 2022 CalFAT: Calibrated Federated Adversarial Training with Label Skewness NeurIPS 2022 Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS 2022 Canary Extraction in Natural Language Understanding Models ACL 2022 Can Rationalization Improve Robustness? NAACL 2022 Can we Generalize and Distribute Private Representation Learning? AISTATS 2022 CARBEN: Composite Adversarial Robustness Benchmark IJCAI 2022 CAT: Customized Adversarial Training for Improved Robustness IJCAI 2022 CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks AAAI 2022 Certified Adversarial Robustness Under the Bounded Support Set ICML 2022 Certified Robustness via Locally Biased Randomized Smoothing L4DC 2022