Mohamed Elmahallawy
PulseAugur coverage of Mohamed Elmahallawy — every cluster mentioning Mohamed Elmahallawy across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New framework protects PII in LLM interactions via reversible pseudo-anonymization
A new framework called Veil-then-Reveal (VtR) has been proposed to protect Personally Identifiable Information (PII) during interactions with large language models (LLMs). This user-side approach aims to prevent risks a…
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New JEPA-Prune method removes PII from fine-tuned LLMs with minimal utility loss
Researchers have developed a new method called JEPA-Prune to address privacy concerns in large language models (LLMs) after fine-tuning. This technique aims to remove personally identifiable information (PII) without si…
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New Locket Framework Enhances LLM Privacy and Access Control
Researchers have developed a new framework called Locket that enhances security and privacy for large language models (LLMs). Locket uses lightweight adapters, each associated with a specific access policy, and a gating…
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New black-box defense TRIM detects and removes AI backdoor triggers
Researchers have developed TRIM, a novel black-box defense system designed to detect and remove backdoor triggers in deep neural networks (DNNs) during inference. Unlike previous methods that require access to model int…