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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

Robust Conversational Agents against Imperceptible Toxicity Triggers NAACL 2022
Residue-Based Natural Language Adversarial Attack Detection NAACL 2022
Defensive Patches for Robust Recognition in the Physical World CVPR 2022
Attack on Unfair ToS Clause Detection: A Case Study using Universal Adversarial Triggers EMNLP 2022
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts EMNLP 2022
Context-Aware Transfer Attacks for Object Detection AAAI 2022
Attacking Video Recognition Models with Bullet-Screen Comments AAAI 2022
Backdoor Attacks on the DNN Interpretation System AAAI 2022
FrePGAN: Robust Deepfake Detection Using Frequency-Level Perturbations AAAI 2022
Learning Universal Adversarial Perturbation by Adversarial Example AAAI 2022
FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack AAAI 2022
Boosting the Transferability of Video Adversarial Examples via Temporal Translation AAAI 2022
Towards Transferable Adversarial Attacks on Vision Transformers AAAI 2022
TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text AAAI 2022
Adversarial Learning from Crowds AAAI 2022
Robust Adversarial Reinforcement Learning with Dissipation Inequation Constraint AAAI 2022
Efficient Robust Training via Backward Smoothing AAAI 2022
Cross-Lingual Adversarial Domain Adaptation for Novice Programming AAAI 2022
XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract) AAAI 2022
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space IJCAI 2022
TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack EMNLP 2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese EMNLP 2022
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation EMNLP 2022
Probing Script Knowledge from Pre-Trained Models EMNLP 2022
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models EMNLP 2022