conftrace_

adversarial learning

1,659 papers

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AL

Co-occurring keywords · papers mentioning both

domain adaptation (216) generative adversarial network (122) adversarial training (119) neural network (113) backdoor attack (111) representation learning (106) adversarial attack (103) large language model (86) adversarial robustness (80) regret bound (73)

Papers

Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization AAAI 2024 Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses NeurIPS 2024 Improving Adversarial Robustness via Feature Pattern Consistency Constraint IJCAI 2024 Improving Fairness in Deepfake Detection WACV 2024 Independency Adversarial Learning for Cross-Modal Sound Separation AAAI 2024 Influencer Backdoor Attack on Semantic Segmentation ICLR 2024 Infrared Adversarial Car Stickers CVPR 2024 Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models NAACL 2024 Invariant Aggregator for Defending against Federated Backdoor Attacks AISTATS 2024 IT3D: Improved Text-to-3D Generation with Explicit View Synthesis AAAI 2024 JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models NeurIPS 2024 Joint Domain Adaptive Graph Convolutional Network IJCAI 2024 Learning to Price Homogeneous Data NeurIPS 2024 Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds ICLR 2024 LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning CVPR 2024 Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text CVPR 2024 Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment EMNLP 2024 Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor NeurIPS 2024 NAPGuard: Towards Detecting Naturalistic Adversarial Patches CVPR 2024 Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models NeurIPS 2024 Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors ACL 2024 Near-optimal Per-Action Regret Bounds for Sleeping Bandits AISTATS 2024 Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers CVPR 2024 Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously NeurIPS 2024 On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective COLT 2024