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adversarial perturbation

384 papers

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Co-occurring keywords

adversarial attack (1621) adversarial robustness (1341) adversarial example (564) neural network (6616) adversarial training (1262) deep neural network (1803) adversarial learning (1595) image classification (1944) black-box attack (237) diffusion model (3751)

Papers

Manipulating SHAP via Adversarial Data Perturbations (Student Abstract) AAAI 2022
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting NIPS 2022
Making Adversarial Examples More Transferable and Indistinguishable AAAI 2022
Shape Prior Guided Attack: Sparser Perturbations on 3D Point Clouds AAAI 2022
Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation CVPR 2022
Adversarial Perturbations Augmented Language Models for Euphemism Identification EMNLP 2022
Blackbox Attacks via Surrogate Ensemble Search NIPS 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation NIPS 2022
Stereoscopic Universal Perturbations Across Different Architectures and Datasets CVPR 2022
Preventing sensitive-word recognition using self-supervised learning to preserve user-privacy for automatic speech recognition INTERSPEECH 2022
Shape-Invariant 3D Adversarial Point Clouds CVPR 2022
Smoothed Embeddings for Certified Few-Shot Learning NIPS 2022
AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification INTERSPEECH 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP EMNLP 2022
Certified Adversarial Robustness Under the Bounded Support Set ICML 2022
Adversarially trained neural representations may already be as robust as corresponding biological neural representations ICML 2022
Robust Online Correlation Clustering NIPS 2021
Invisible Backdoor Attack With Sample-Specific Triggers ICCV 2021
On Generating Transferable Targeted Perturbations ICCV 2021
Semantic Perturbations With Normalizing Flows for Improved Generalization ICCV 2021
Interpreting Attributions and Interactions of Adversarial Attacks ICCV 2021
Contrast and Classify: Training Robust VQA Models ICCV 2021
Investigating vulnerabilities of deep neural policies UAI 2021
Multi-Expert Adversarial Attack Detection in Person Re-Identification Using Context Inconsistency ICCV 2021
Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space ACML 2021