Co-occurring keywords · papers mentioning both
Papers
Adversarial Attacks on Text-dependent Speaker Verification System
Interspeech 2025
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
ICLR 2025
IDProtector: An Adversarial Noise Encoder to Protect Against ID-Preserving Image Generation
CVPR 2025
Optimal Fair Learning Robust to Adversarial Distribution Shift
ICML 2025
Towards Robust Defense against Customization via Protective Perturbation Resistant to Diffusion-based Purification
ICCV 2025
Adversarial Robust Safeguard for Evading Deep Facial Manipulation
AAAI 2024
Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning
ICML 2024
CURATRON: Complete and Robust Preference Data for Rigorous Alignment of Large Language Models
NAACL 2024
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
ICML 2024
Knowledge Graph Error Detection with Contrastive Confidence Adaption
AAAI 2024
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise
NeurIPS 2024
On the Vulnerability of Fairness Constrained Learning to Malicious Noise
AISTATS 2024
Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration
ICML 2023
Semi-Verified PAC Learning from the Crowd
AISTATS 2023
A Resilient Distributed Boosting Algorithm
ICML 2022
Corruption-Robust Contextual Search through Density Updates
COLT 2022
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack
NeurIPS 2022
Modeling Adversarial Noise for Adversarial Training
ICML 2022
On the power of adaptivity in statistical adversaries
COLT 2022
Architectural Adversarial Robustness: The Case for Deep Pursuit
CVPR 2021
Distributed Zero-Order Optimization under Adversarial Noise
NeurIPS 2021
Improving Unsupervised Image Clustering With Robust Learning
CVPR 2021
On the Cryptographic Hardness of Learning Single Periodic Neurons
NeurIPS 2021
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise
ICML 2021
Removing Adversarial Noise in Class Activation Feature Space
ICCV 2021