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adversarial learning

1592 papers

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Also known as

DAL ADAL ALI ASA GAN AGR AL ADC AAL

Co-occurring keywords

domain adaptation (4578) generative adversarial network (1939) adversarial training (1261) backdoor attack (377) neural network (6616) representation learning (6174) adversarial attack (1599) large language model (12755) adversarial robustness (1335) text classification (6776)

Papers

Invariant Aggregator for Defending against Federated Backdoor Attacks AISTATS 2024
AuriSRec: Adversarial User Intention Learning in Sequential Recommendation EMNLP 2024
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem AISTATS 2024
Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning AISTATS 2024
Beyond Slow Signs in High-fidelity Model Extraction NIPS 2024
When Generative Adversarial Networks Meet Sequence Labeling Challenges EMNLP 2024
Infrared Adversarial Car Stickers CVPR 2024
Towards Fairness-Aware Adversarial Learning CVPR 2024
Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition IJCAI 2024
RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction IJCAI 2024
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach IJCAI 2024
Representation Alignment and Adversarial Networks for Cross-lingual Dependency Parsing EMNLP 2024
Defending Jailbreak Prompts via In-Context Adversarial Game EMNLP 2024
BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting EMNLP 2024
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets EMNLP 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint IJCAI 2024
CodeFort: Robust Training for Code Generation Models EMNLP 2024
Robust exploration with adversary via Langevin Monte Carlo L4DC 2024
A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models ACL 2024
On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective COLT 2024
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models EMNLP 2024
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation NIPS 2024
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models NIPS 2024
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization COLT 2024
Joint Domain Adaptive Graph Convolutional Network IJCAI 2024