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20212026
most citedDeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection

188 citations · 221 across the 12 of their papers we have counts for

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cs.CR2026

The Innocent Courier: Covert Exfiltration Through Legitimate LLM Web Fetching

Alessandro Pegoraro, Daryan Merx, Phillip Rieger +1

With the increasing capabilities of Large-Language-Models (LLMs) and LLM-based agents, users are increasingly using them to solve everyday problems, such as answering e-mails or pr…

cs.LG2026

LightSplit: Practical Privacy-Preserving Split Learning via Orthogonal Projections (Full Version)

Mert Cihangiroglu, Alessandro Pegoraro, Phillip Rieger +2

Split learning (SL) enables collaborative training by partitioning a neural network across clients and a central server. However, the cut-layer interface introduces a key challenge…