adversarial robustness

1335 papers

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Also known as

UAP PAR ADV AR

Co-occurring keywords

adversarial training (1261) adversarial attack (1599) neural network (6616) adversarial example (563) adversarial learning (1592) model robustness (478) adversarial defense (324) large language model (12755) certified robustness (116) adversarial perturbation (376)

Papers

Unveiling Project-Specific Bias in Neural Code Models COLING 2024

Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models NIPS 2024

Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations AISTATS 2024

Unveiling Vulnerability of Self-Attention COLING 2024

Assessing Neural Network Robustness via Adversarial Pivotal Tuning WACV 2024

Benchmark Generation Framework With Customizable Distortions for Image Classifier Robustness WACV 2024

Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets COLING 2024

DualPure: An Efficient Adversarial Purification Method for Speech Command Recognition INTERSPEECH 2024

Few-Shot Adversarial Prompt Learning on Vision-Language Models NIPS 2024

Enhance Robustness of Language Models against Variation Attack through Graph Integration COLING 2024

Learning To Generate Training Datasets for Robust Semantic Segmentation WACV 2024

Detection Defenses: An Empty Promise Against Adversarial Patch Attacks on Optical Flow WACV 2024

NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations WACV 2024

Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks ACL 2024

Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective WACV 2024

FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor NIPS 2024

Linguistic Rule Induction Improves Adversarial and OOD Robustness in Large Language Models COLING 2024

TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences COLING 2024

TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases NIPS 2024

SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials SEMEVAL 2024

Deep anytime-valid hypothesis testing AISTATS 2024

Tight Verification of Probabilistic Robustness in Bayesian Neural Networks AISTATS 2024

Authorship Obfuscation in Multilingual Machine-Generated Text Detection EMNLP 2024

StraGo: Harnessing Strategic Guidance for Prompt Optimization EMNLP 2024

Revisiting Adversarial Training at Scale CVPR 2024