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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-Centric Learning WACV 2024
Neural Style Protection: Counteracting Unauthorized Neural Style Transfer WACV 2024
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations WACV 2024
Stochastic Binary Network for Universal Domain Adaptation WACV 2024
Detection Defenses: An Empty Promise Against Adversarial Patch Attacks on Optical Flow WACV 2024
CARE: Counterfactual-Based Algorithmic Recourse for Explainable Pose Correction WACV 2024
Assist Is Just As Important as the Goal: Image Resurfacing To Aid Model's Robust Prediction WACV 2024
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks NIPS 2024
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models NIPS 2024
Fight Back Against Jailbreaking via Prompt Adversarial Tuning NIPS 2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts NIPS 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models NIPS 2024
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization NIPS 2024
Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning NIPS 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NIPS 2024
Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation NIPS 2024
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models NIPS 2024
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection NIPS 2024
Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective NIPS 2024
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation NIPS 2024
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation NIPS 2024
The Price of Implicit Bias in Adversarially Robust Generalization NIPS 2024
Wide Two-Layer Networks can Learn from Adversarial Perturbations NIPS 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense NIPS 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models NIPS 2024