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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

Mission Impossible: A Statistical Perspective on Jailbreaking LLMs NIPS 2024
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations EMNLP 2024
Initialization Matters for Adversarial Transfer Learning CVPR 2024
StraGo: Harnessing Strategic Guidance for Prompt Optimization EMNLP 2024
CERT-ED: Certifiably Robust Text Classification for Edit Distance EMNLP 2024
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers EMNLP 2024
Authorship Obfuscation in Multilingual Machine-Generated Text Detection EMNLP 2024
Robust Text Classification: Analyzing Prototype-Based Networks EMNLP 2024
Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution CVPR 2024
TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences COLING 2024
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples NIPS 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness NIPS 2024
On the Relationship between Skill Neurons and Robustness in Prompt Tuning COLING 2024
RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification CVPR 2024
Unveiling Vulnerability of Self-Attention COLING 2024
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method EMNLP 2024
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction CVPR 2024
Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets COLING 2024
Exploring Adversarial Robustness of Deep State Space Models NIPS 2024
Enhance Robustness of Language Models against Variation Attack through Graph Integration COLING 2024
Assessing Neural Network Robustness via Adversarial Pivotal Tuning WACV 2024
Linguistic Rule Induction Improves Adversarial and OOD Robustness in Large Language Models COLING 2024
CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection CVPR 2024
A Fourier Perspective of Feature Extraction and Adversarial Robustness IJCAI 2024