conftrace_

black-box attack

237 papers

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Co-occurring keywords

adversarial attack (1621) adversarial example (564) query efficiency (70) adversarial perturbation (384) neural network (6616) adversarial transferability (46) deep neural network (1803) model robustness (480) white-box attack (38) decision-based attack (12)

Papers

BinarySelect to Improve Accessibility of Black-Box Attack Research COLING 2025
HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval AAAI 2025
Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring NAACL 2025
The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems EMNLP 2025
A General Black-box Adversarial Attack on Graph-based Fake News Detectors IJCAI 2024
Fooling the Textual Fooler via Randomizing Latent Representations ACL 2024
Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors ACL 2024
RAFT: Realistic Attacks to Fool Text Detectors EMNLP 2024
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection NIPS 2024
Hard-Label Based Small Query Black-Box Adversarial Attack WACV 2024
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought IJCAI 2024
Transferable Adversarial Attacks for Object Detection Using Object-Aware Significant Feature Distortion AAAI 2024
Exploiting Class Probabilities for Black-box Sentence-level Attacks EACL 2024
Towards Transferable Adversarial Attacks with Centralized Perturbation AAAI 2024
DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space AAAI 2024
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate AAAI 2024
Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks AAAI 2024
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer AAAI 2024
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks AAAI 2024
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically NIPS 2024
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving CVPR 2024
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search NIPS 2024
DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection CVPR 2024
Ensemble Diversity Facilitates Adversarial Transferability CVPR 2024
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning CVPR 2024