conftrace_

unlearnable example

19 papers

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Also known as

UE

Co-occurring keywords

data privacy (108) adversarial learning (1595) data protection (13) adversarial perturbation (384) data poisoning (128) privacy protection (162) adversarial training (1262) bi-level optimization (149) bilevel optimization (194) text-to-image generation (587)

Papers

Towards Provably Unlearnable Examples via Bayes Error Optimization AAAI 2026
Towards Operationalizing Right to Data Protection NAACL 2025
Detecting and Corrupting Convolution-based Unlearnable Examples AAAI 2025
MYOPIA: Protecting Face Privacy from Malicious Personalized Text-to-Image Synthesis via Unlearnable Examples AAAI 2025
Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking ICCV 2025
A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment CVPR 2025
Asynchronous Event Error-Minimizing Noise for Safeguarding Event Dataset ICCV 2025
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning CVPR 2024
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need NIPS 2024
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation NIPS 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously NIPS 2024
Detection and Defense of Unlearnable Examples AAAI 2024
Game-Theoretic Unlearnable Example Generator AAAI 2024
Ungeneralizable Examples CVPR 2024
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise AAAI 2024
UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning EMNLP 2023
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples CVPR 2023
Autoregressive Perturbations for Data Poisoning NIPS 2022
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder NIPS 2022