Damnatio Memoriae: Adversarially and Selectively Forgetting Identities in the Embedding Space of Face Recognition Models

arXiv:2609.27115 · cs.CV · Submitted 2026-09-22 · Read on arXiv

cs.CV

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

Verification — 27× in this paper · explained in 2 episodes
Embeddings — 21× in this paper · explained in 2 episodes
Machine Unlearning — 19× in this paper · explained in 2 episodes
Accuracy — 6× in this paper · explained in 1 episode
Benchmark — 6× in this paper · explained in 2 episodes
Cosine Similarity — 6× in this paper · explained in 3 episodes
Transformer — 6× in this paper · explained in 2 episodes
Fine-Tuning — 5× in this paper · explained in 5 episodes
Diffusion Model — 4× in this paper · explained in 8 episodes
Diffusion Models — 4× in this paper · explained in 6 episodes
Approximate Unlearning — 2× in this paper · explained in 1 episode
Clustering — 2× in this paper · explained in 2 episodes
Continual Learning — 2× in this paper · explained in 2 episodes
Generative Model — 2× in this paper · explained in 2 episodes
Pseudo-labels — 2× in this paper · explained in 2 episodes
Robustness — 2× in this paper · explained in 5 episodes
Adversarial Model — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 3 episodes
Decode — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Perplexity — 1× in this paper · explained in 3 episodes
Score Function — 1× in this paper · explained in 4 episodes
Verifiability — 1× in this paper · explained in 2 episodes

Terminology

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