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Adversarial Defense
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Active Adversarial Noise Suppression for Image Forgery Localization
DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models
Sylva: Tailoring Personalized Adversarial Defense in Pre-trained Models via Collaborative Fine-tuning
Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs
Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking
Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective
How Do Diffusion Models Improve Adversarial Robustness?
Are classical deep neural networks weakly adversarially robust?
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment
EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication Networks
Towards more transferable adversarial attack in black-box manner
Accidental Misalignment: Fine-Tuning Language Models Induces Unexpected Vulnerability
A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example Detection
FlowPure: Continuous Normalizing Flows for Adversarial Purification
GenoArmory: A Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation Models
Lightweight Defense Against Adversarial Attacks in Time Series Classification
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models
Defending Against Frequency-Based Attacks with Diffusion Models
A Knowledge-guided Adversarial Defense for Resisting Malicious Visual Manipulation
Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense
AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization
Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks
One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy
LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation
Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features
ShieldLearner: A New Paradigm for Jailbreak Attack Defense in LLMs
How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies
Adversarial Masked Autoencoder Purifier with Defense Transferability
VideoPure: Diffusion-based Adversarial Purification for Video Recognition
Gradient-Free Adversarial Purification with Diffusion Models
Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness
Towards a constructive framework for control theory
Sample Correlation for Fingerprinting Deep Face Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.