Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era

arXiv:2608.06211 · cs.CR, cs.CV · Submitted 2026-08-06 · Read on arXiv

Binze Wang, Jinyu Tian, Xingrun Wang, Xiaochen Yuan, Jianqing Li

cs.CR, cs.CV

Submitted: 2026-08-06

Code: https://github.com/Yeah21/ReversibleUnlearnableExamples

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Accuracy — 30× in this paper · explained in 1 episode
Robustness — 27× in this paper · explained in 6 episodes
Decoder — 22× in this paper · explained in 2 episodes
Verification — 21× in this paper · explained in 2 episodes
Augmentation — 12× in this paper · explained in 2 episodes
Mutual Information — 10× in this paper · explained in 2 episodes
Data Augmentation — 7× in this paper · explained in 10 episodes
Adversarial Examples — 5× in this paper · explained in 2 episodes
Generalizability — 5× in this paper · explained in 6 episodes
Transferability — 4× in this paper · explained in 5 episodes
Bit Error Rate — 3× in this paper
Data Leakage — 3× in this paper · explained in 2 episodes
Feature Extraction — 3× in this paper · explained in 3 episodes
Generalization — 3× in this paper · explained in 14 episodes
Ablation — 2× in this paper · explained in 1 episode
Ablation Study — 2× in this paper · explained in 3 episodes
Generator — 2× in this paper · explained in 2 episodes
Binary Cross Entropy — 1× in this paper
Core — 1× in this paper · explained in 2 episodes
Examples by Minimizing the Mutual Information — 1× in this paper
Grounding — 1× in this paper · explained in 3 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Mutual Information (MI) — 1× in this paper · explained in 2 episodes
Objective Function — 1× in this paper · explained in 2 episodes
Peak Signal to Noise Ratio — 1× in this paper
Weight Decay — 1× in this paper · explained in 2 episodes

Sources

Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks

Terminology

Sources

Related papers