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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes NIPS 2024
On the Adversarial Robustness of Benjamini Hochberg NIPS 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models NIPS 2024
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection NIPS 2024
Assist Is Just As Important as the Goal: Image Resurfacing To Aid Model's Robust Prediction WACV 2024
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory NIPS 2024
Improving Alignment and Robustness with Circuit Breakers NIPS 2024
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents NIPS 2024
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor NIPS 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense NIPS 2024
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts NIPS 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024
The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions NIPS 2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts NIPS 2024
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator EMNLP 2024
Robust Image Denoising through Adversarial Frequency Mixup CVPR 2024
Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation NIPS 2024
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically NIPS 2024
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples EMNLP 2024
ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation NIPS 2024
The Price of Implicit Bias in Adversarially Robust Generalization NIPS 2024
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment EMNLP 2024
Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models ACL 2024
Diffusion Models are Certifiably Robust Classifiers NIPS 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness NIPS 2024