Search Results for author: Yash Gupta

Found 6 papers, 3 papers with code

Stateful Detection of Model Extraction Attacks

1 code implementation12 Jul 2021 Soham Pal, Yash Gupta, Aditya Kanade, Shirish Shevade

Machine-Learning-as-a-Service providers expose machine learning (ML) models through application programming interfaces (APIs) to developers.

BIG-bench Machine Learning Model extraction

A Compressed Sensing Approach to Pooled RT-PCR Testing for COVID-19 Detection

1 code implementation16 May 2020 Sabyasachi Ghosh, Rishi Agarwal, Mohammad Ali Rehan, Shreya Pathak, Pratyush Agrawal, Yash Gupta, Sarthak Consul, Nimay Gupta, Ritika, Ritesh Goenka, Ajit Rajwade, Manoj Gopalkrishnan

Tapestry combines ideas from compressed sensing and combinatorial group testing with a novel noise model for RT-PCR used for generation of synthetic data.

ACTIVETHIEF: Model Extraction Using Active Learning and Unannotated Public Data

1 code implementation7 Feb 2020 Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish Shevade, Vinod Ganapathy

We demonstrate that (1) it is possible to use ACTIVETHIEF to extract deep classifiers trained on a variety of datasets from image and text domains, while querying the model with as few as 10-30% of samples from public datasets, (2) the resulting model exhibits a higher transferability success rate of adversarial examples than prior work, and (3) the attack evades detection by the state-of-the-art model extraction detection method, PRADA.

Active Learning BIG-bench Machine Learning +1

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