FIDA: Feature Instability-Driven Attack on Self-Supervised Facial Representation

arXiv:2608.26861 · cs.CV, cs.CR · Submitted 2026-08-27 · Read on arXiv

cs.CV, cs.CR

Submitted: 2026-08-27

Updated: 2026-08-27

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

Terminology

Feature Instability-Driven Attack — 16× in this paper
Self-Supervised Learning — 16× in this paper · explained in 7 episodes
Accuracy — 10× in this paper · explained in 1 episode
Fidelity — 9× in this paper · explained in 2 episodes
Consistency — 8× in this paper · explained in 3 episodes
Attack Success Rate — 7× in this paper
Representation Learning — 7× in this paper · explained in 2 episodes
Alignment — 6× in this paper · explained in 1 episode
Calibration — 5× in this paper · explained in 7 episodes
Contrastive Learning — 5× in this paper · explained in 5 episodes
Cosine Similarity — 5× in this paper · explained in 3 episodes
Fine-Tuning — 5× in this paper · explained in 5 episodes
Robustness — 5× in this paper · explained in 5 episodes
False Positive Rate — 4× in this paper
Generalization — 4× in this paper · explained in 13 episodes
Self-Supervised Learning (SSL) — 4× in this paper · explained in 4 episodes
True Positive Rate — 4× in this paper
Ablation — 3× in this paper · explained in 1 episode
Downstream Tasks — 3× in this paper · explained in 2 episodes
Ablation study — 2× in this paper · explained in 1 episode
Diffusion Model — 2× in this paper · explained in 8 episodes
Diffusion Models — 2× in this paper · explained in 6 episodes
Entanglement — 2× in this paper · explained in 3 episodes
Foundation Model — 2× in this paper · explained in 3 episodes
Foundation Models — 2× in this paper · explained in 7 episodes
IEEE Symposium on Security and Privacy — 2× in this paper
Adam — 1× in this paper · explained in 2 episodes
Adaptation — 1× in this paper · explained in 1 episode
Adversarial Attacks — 1× in this paper · explained in 1 episode
Adversarial Examples — 1× in this paper · explained in 2 episodes
Attack Success Rate (ASR) — 1× in this paper · explained in 2 episodes
Benchmark — 1× in this paper · explained in 2 episodes
Benchmarking — 1× in this paper · explained in 3 episodes
Computational overhead — 1× in this paper · explained in 2 episodes
Data Augmentation — 1× in this paper · explained in 7 episodes
Decoupling — 1× in this paper · explained in 2 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 2 episodes
In International Conference on Learning Representations — 1× in this paper
Loss Function — 1× in this paper · explained in 2 episodes
Objective Function — 1× in this paper · explained in 2 episodes
Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
Redundancy — 1× in this paper · explained in 2 episodes
Temporal consistency — 1× in this paper · explained in 2 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes
Transferability — 1× in this paper · explained in 4 episodes
Verification — 1× in this paper · explained in 2 episodes
While Self-Supervised Learning — 1× in this paper

Sources

Improved Baselines with Momentum Contrastive Learning

Terminology

Sources

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