Search Results for author: Akshaj Veldanda

Found 2 papers, 0 papers with code

On Evaluating Neural Network Backdoor Defenses

no code implementations23 Oct 2020 Akshaj Veldanda, Siddharth Garg

Deep neural networks (DNNs) demonstrate superior performance in various fields, including scrutiny and security.

CryptoNAS: Private Inference on a ReLU Budget

no code implementations NeurIPS 2020 Zahra Ghodsi, Akshaj Veldanda, Brandon Reagen, Siddharth Garg

Machine learning as a service has given raise to privacy concerns surrounding clients' data and providers' models and has catalyzed research in private inference (PI): methods to process inferences without disclosing inputs.

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