conftrace_

adversarial attack

1621 papers

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Also known as

AA

Co-occurring keywords

adversarial robustness (1341) adversarial example (564) black-box attack (237) large language model (13587) neural network (6616) adversarial learning (1595) adversarial defense (325) model robustness (480) adversarial training (1262) adversarial perturbation (384)

Papers

Cross-Modal Stealth: A Coarse-to-Fine Attack Framework for RGB-T Tracker AAAI 2025
SilverSpeak: Evading AI-Generated Text Detectors using Homoglyphs COLING 2025
Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models CVPR 2025
Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems NAACL 2025
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models EMNLP 2025
CNLP-NITS-PP at GenAI Detection Task 3: Cross-Domain Machine-Generated Text Detection Using DistilBERT Techniques COLING 2025
The Security Threat of Compressed Projectors in Large Vision-Language Models EMNLP 2025
Improving Transferable Targeted Attacks with Feature Tuning Mixup CVPR 2025
sudo rm -rf agentic_security ACL 2025
Defense Against Adversarial Cloud Attack on Remote Sensing Salient Object Detection WACV 2024
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models CVPR 2024
Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective WACV 2024
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks CVPR 2024
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models CVPR 2024
GLOW: Global Layout Aware Attacks on Object Detection CVPR 2024
Beyond Slow Signs in High-fidelity Model Extraction NIPS 2024
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models NIPS 2024
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection NIPS 2024
Can Textual Unlearning Solve Cross-Modality Safety Alignment? EMNLP 2024
Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functions EMNLP 2024
Fooling the Textual Fooler via Randomizing Latent Representations ACL 2024
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate NIPS 2024
Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models ACL 2024
Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs NAACL 2024
DarkSAM: Fooling Segment Anything Model to Segment Nothing NIPS 2024