Adversarial Learning

Contrastive Learning with Adversarial Examples NeurIPS 2020 Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises CVPR 2020 Deception through Half-Truths AAAI 2020 Defending Against Universal Attacks Through Selective Feature Regeneration CVPR 2020 Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack CVPR 2020 Defense for Black-Box Attacks on Anti-Spoofing Models by Self-Supervised Learning Interspeech 2020 Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error IJCAI 2020 Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors CVPR 2020 Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks EMNLP 2020 Discriminative Adversarial Domain Adaptation AAAI 2020 Diversity can be Transferred: Output Diversification for White- and Black-box Attacks NeurIPS 2020 Don’t take “nswvtnvakgxpm” for an answer –The surprising vulnerability of automatic content scoring systems to adversarial input COLING 2020 Dual-Adversarial Domain Adaptation for Generalized Replay Attack Detection Interspeech 2020 DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles NeurIPS 2020 ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System AAAI 2020 Efficient Adversarial Training With Transferable Adversarial Examples CVPR 2020 Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier ICLR 2020 Evade Deep Image Retrieval by Stashing Private Images in the Hash Space CVPR 2020 Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples ACL 2020 Evaluation of Coreference Resolution Systems Under Adversarial Attacks EMNLP 2020 Event-Related Bias Removal for Real-time Disaster Events EMNLP 2020 Exploiting Joint Robustness to Adversarial Perturbations CVPR 2020 Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning AAAI 2020 Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object Tracking ICLR 2020 FreeLB: Enhanced Adversarial Training for Natural Language Understanding ICLR 2020