adversarial attack

Pairing Weak with Strong: Twin Models for Defending Against Adversarial Attack on Speaker Verification Interspeech 2021 Parallel Rectangle Flip Attack: A Query-Based Black-Box Attack Against Object Detection ICCV 2021 Perceptual Adversarial Robustness: Defense Against Unseen Threat Models ICLR 2021 Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing EMNLP 2021 PID-Based Approach to Adversarial Attacks AAAI 2021 PointBA: Towards Backdoor Attacks in 3D Point Cloud ICCV 2021 PointGuard: Provably Robust 3D Point Cloud Classification CVPR 2021 Poisoning Knowledge Graph Embeddings via Relation Inference Patterns ACL 2021 Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples ICLR 2021 PopSkipJump: Decision-Based Attack for Probabilistic Classifiers ICML 2021 Practical Relative Order Attack in Deep Ranking ICCV 2021 Probabilistic Robustness Quantification of Neural Networks AAAI 2021 ProFlip: Targeted Trojan Attack With Progressive Bit Flips ICCV 2021 Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation ICML 2021 Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing CVPR 2021 Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning NeurIPS 2021 QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval CVPR 2021 Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes NeurIPS 2021 Query Complexity of Adversarial Attacks ICML 2021 Reliability Testing for Natural Language Processing Systems ACL 2021 Representation Learning to Classify and Detect Adversarial Attacks Against Speaker and Speech Recognition Systems Interspeech 2021 Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective ICCV 2021 Robust Deep Reinforcement Learning through Adversarial Loss NeurIPS 2021 Robust Learning for Data Poisoning Attacks ICML 2021 Robustness and Adversarial Examples in Natural Language Processing EMNLP 2021