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

DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification NIPS 2024
ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger NAACL 2024
OSLO: One-Shot Label-Only Membership Inference Attacks NIPS 2024
Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion EACL 2024
Textual-Driven Adversarial Purification for Speaker Verification INTERSPEECH 2024
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models NIPS 2024
Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study AAAI 2024
Robust Text Classification: Analyzing Prototype-Based Networks EMNLP 2024
Edit Distance Robust Watermarks via Indexing Pseudorandom Codes NIPS 2024
Revisiting Adversarial Patches for Designing Camera-Agnostic Attacks against Person Detection NIPS 2024
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NIPS 2024
Efficient Adversarial Training in LLMs with Continuous Attacks NIPS 2024
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters NIPS 2024
Safety of Multimodal Large Language Models on Images and Text IJCAI 2024
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space NIPS 2024
VertAttack: Taking Advantage of Text Classifiers’ Horizontal Vision NAACL 2024
Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses AISTATS 2024
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks NAACL 2024
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation IJCAI 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples AAAI 2024
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NIPS 2024
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers CVPR 2024
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level NIPS 2024
ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization NIPS 2024
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models NIPS 2024