Co-occurring keywords · papers mentioning both
Papers
Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks
AAAI 2025
Adversarial Purification via Super-Resolution and Diffusion
ICCV 2025
AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption
ICLR 2025
AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models
ACL 2025
An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring
IJCNLP 2025
AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy
WACV 2025
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
ICLR 2025
Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks with Self-Refine
NAACL 2025
Certified Causal Defense with Generalizable Robustness
AAAI 2025
Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language Models
ACL 2025
CIARD: Cyclic Iterative Adversarial Robustness Distillation
ICCV 2025
Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks
AAAI 2025
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
ICLR 2025
Data to Defense: The Role of Curation in Aligning Large Language Models Against Safety Compromise
EMNLP 2025
Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal
CVPR 2025
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
AAAI 2025
Defense Against Prompt Injection Attack by Leveraging Attack Techniques
ACL 2025
Defensive Prompt Patch: A Robust and Generalizable Defense of Large Language Models against Jailbreak Attacks
ACL 2025
Detecting and Corrupting Convolution-based Unlearnable Examples
AAAI 2025
DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination
WACV 2025
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative Denoising
ACL 2025
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
ICLR 2025
Disentangled Information Bottleneck for Adversarial Text Defense
EMNLP 2025
Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy
ICCV 2025
Distraction is All You Need for Multimodal Large Language Model Jailbreaking
CVPR 2025