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

A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models ACL 2024
BrainWash: A Poisoning Attack to Forget in Continual Learning CVPR 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space NIPS 2024
SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples AAAI 2024
SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models ACL 2024
Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack ACL 2024
Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues ACL 2024
CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models ACL 2024
IntensPure: Attack Intensity-aware Secondary Domain Adaptive Diffusion for Adversarial Purification IJCAI 2024
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails ACL 2024
Exploiting Positional Bias for Query-Agnostic Generative Content in Search ACL 2024
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM ACL 2024
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control IJCAI 2024
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models CVPR 2024
A General Black-box Adversarial Attack on Graph-based Fake News Detectors IJCAI 2024
Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability IJCAI 2024
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification AAAI 2024
Optimal Zero-Shot Detector for Multi-Armed Attacks AISTATS 2024
A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models AISTATS 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning EMNLP 2024
DarkFed: A Data-Free Backdoor Attack in Federated Learning IJCAI 2024
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models EMNLP 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning IJCAI 2024
GenSeg: On Generating Unified Adversary for Segmentation IJCAI 2024