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Rohan Sukumaran

2 accepted papers

2024

"SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks"

ECCV 2024poster

"In this work, we tackle the question of how to benchmark reconstruction of inputs from deep neural networks (DNN) representations. This inverse problem is of great importance in the privacy community where obfuscation of features has been proposed as a technique for privacy-preserving machine learn…

2024

Balancing Act: Constraining Disparate Impact in Sparse Models

ICLR 2024poster

Model pruning is a popular approach to enable the deployment of large deep learning models on edge devices with restricted computational or storage capacities. Although sparse models achieve performance comparable to that of their dense counterparts at the level of the entire dataset, they exhibit h…

Cited by 4SourcePDFScholar