Background: Automated dermoscopic skin lesion classification presents a persistent challenge in clinical artificial intelligence (AI): achieving reliable multi-class discrimination under severe class imbalance while remaining computationally viable for resource-constrained deployment. Existing approaches predominantly...
Rajalakshmi Nr, Anupam John, Sachi Shome et al.· Telehealth and Medicine Toda...· 0 citations
Large language models often produce plausible numerical claims from financial filings while using the wrong reporting period, unit, line item, or formula. Verifying such claims requires more than rechecking arithmetic: a verifier must ground the relevant facts, establish the authorized calculation, and determine whethe...
Bethel Hall, Sachi Shome, William Eiers· 1 citation
Lossy compression is widely used in Federated Learning (FL) but is generally treated as an error source, while conventional poisoning defenses inspect update geometry. In this work, we instead treat the compressor's response as a security signal: the input-dependent distortion and payload behavior induced by lossy comp...
Large Language Models are increasingly used to turn natural-language requirements into code. In access control, that shortcut is dangerous: a generated policy can compile and read correctly while granting access that no one approved. The difficulty is not only writing policy code. It is fixing what the requirements mea...
Adarsh Vatsa, Sachi Shome, Yingming Zhou et al.· 1 citation
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