1 citations · 1 across the 6 of their papers we have counts for
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Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
Kyle O'Brien, Stephen Casper, Quentin Anthony +7
Open-weight AI systems offer unique benefits, including enhanced transparency, open research, and decentralized access. However, they are vulnerable to tampering attacks which can…
Client Contribution Normalization for Enhanced Federated Learning
Mayank Kumar Kundalwal, Anurag Saraswat, Ishan Mishra +1
Mobile devices, including smartphones and laptops, generate decentralized and heterogeneous data, presenting significant challenges for traditional centralized machine learning mod…
Probabilistic Trust Intervals for Out of Distribution Detection
Gagandeep Singh, Ishan Mishra, Deepak Mishra
The ability of a deep learning network to distinguish between in-distribution (ID) and out-of-distribution (OOD) inputs is crucial for ensuring the reliability and trustworthiness…