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

Boosting Adversarial Transferability by Block Shuffle and Rotation CVPR 2024
Extreme Miscalibration and the Illusion of Adversarial Robustness ACL 2024
Attack Named Entity Recognition by Entity Boundary Interference COLING 2024
Towards Accurate and Robust Architectures via Neural Architecture Search CVPR 2024
Reward Certification for Policy Smoothed Reinforcement Learning AAAI 2024
PAD: A Robustness Enhancement Ensemble Method via Promoting Attention Diversity COLING 2024
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection NIPS 2024
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples AAAI 2024
AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack AAAI 2024
Robustness Verification of Multi-Class Tree Ensembles AAAI 2024
Automated Adversarial Discovery for Safety Classifiers NAACL 2024
RAFT: Realistic Attacks to Fool Text Detectors EMNLP 2024
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024
Are AI-Generated Text Detectors Robust to Adversarial Perturbations? ACL 2024
Optimal Attack and Defense for Reinforcement Learning AAAI 2024
SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples AAAI 2024
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms AAAI 2024
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search NIPS 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation AAAI 2024
XVD: Cross-Vocabulary Differentiable Training for Generative Adversarial Attacks COLING 2024
LinkPrompt: Natural and Universal Adversarial Attacks on Prompt-based Language Models NAACL 2024
Don’t be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks NAACL 2024
Vulnerabilities of Large Language Models to Adversarial Attacks ACL 2024
Harnessing Edge Information for Improved Robustness in Vision Transformers AAAI 2024
Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications ACL 2024