Beyond Classification: Task-Dependent Learnability under Privacy-Motivated Image Transformations

arXiv:2608.27066 · cs.CV, cs.AI, cs.LG · Submitted 2026-08-27 · Read on arXiv

cs.CV, cs.AI, cs.LG

Submitted: 2026-08-27

Updated: 2026-08-27

Code: https://github.com/LeonRanke/TaskDependent-Learnability

Terminology

• Accuracy — 30× in this paper · explained in 1 episode
• Transformer — 6× in this paper · explained in 2 episodes
• Angular Error — 5× in this paper · explained in 1 episode
• Consistency — 5× in this paper · explained in 3 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Data Augmentation — 3× in this paper · explained in 7 episodes
• Differential Privacy — 3× in this paper · explained in 4 episodes
• Downstream Tasks — 3× in this paper · explained in 2 episodes
• Loss Function — 3× in this paper · explained in 2 episodes
• Privacy-Preserving Machine Learning — 3× in this paper
• Adaptation — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• IEEE Symposium on Security and Privacy — 2× in this paper
• alpha — 2× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Data Pruning — 1× in this paper · explained in 2 episodes
• Differential Privacy (DP) — 1× in this paper · explained in 7 episodes
• Differentially Private — 1× in this paper · explained in 3 episodes
• Federated Learning — 1× in this paper · explained in 14 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Reflections on Shannon Information: In search of a natural information-entropy for images
• Block-wise Scrambled Image Recognition Using Adaptation Network
• Defeating Image Obfuscation with Deep Learning

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