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

SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples AAAI 2024
Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing CVPR 2024
Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study AAAI 2024
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms AAAI 2024
Can Biases in ImageNet Models Explain Generalization? CVPR 2024
Cross-Modality Perturbation Synergy Attack for Person Re-identification NIPS 2024
XVD: Cross-Vocabulary Differentiable Training for Generative Adversarial Attacks COLING 2024
GLOW: Global Layout Aware Attacks on Object Detection CVPR 2024
PAD: A Robustness Enhancement Ensemble Method via Promoting Attention Diversity COLING 2024
Hacking predictors means hacking cars: Using sensitivity analysis to identify trajectory prediction vulnerabilities for autonomous driving security L4DC 2024
MathAttack: Attacking Large Language Models towards Math Solving Ability AAAI 2024
Simpler Becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora? COLING 2024
DarkSAM: Fooling Segment Anything Model to Segment Nothing NIPS 2024
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models NIPS 2024
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack AAAI 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation AAAI 2024
Attack Named Entity Recognition by Entity Boundary Interference COLING 2024
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models NIPS 2024
Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack COLING 2024
Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling NIPS 2024
ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization NIPS 2024
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition NIPS 2024
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models NIPS 2024
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training JMLR 2024
Revisiting Adversarial Patches for Designing Camera-Agnostic Attacks against Person Detection NIPS 2024