INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 5/21/2026, 4:00:00 AM · TLP amber
Summary
Ingested excerpt (first ~500 chars of normalized text).
Causal Unlearning in Collaborative Optimization: Exact and Approximate Influence Reversal under Adversarial Contributions arXiv:2605.20341v1 Announce Type: cross Abstract: Federated learning systems must support data deletion requests to comply with privacy regulations, yet retraining from scratch after each deletion is computationally prohibitive. We present HF-KCU, a method that removes a client's contribution by approximating the influence function through conjugate gradi…
https://arxiv.org/abs/2605.20341
sha256:aab6b40db94b44d73d1d5a07e8380a4736a3039b1d85c5cb17b67d1eb4a87027
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ATT&CK techniques
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