2 papers
cs.LG2023
InferNet: Exploiting Aggregate GPU Profiles as Side-Channel for DNN Architecture Inference
Raja Hasnain Anwar, Jonah O'Brien Weiss, Tiago Alves +1
Deep Neural Networks (DNNs) have become ubiquitous for their ability to solve problems across various domains, including computer vision, natural language processing, and speech re…
cs.LG2022
Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial Pruning
Jonah O'Brien Weiss, Tiago Alves, Sandip Kundu
The prevalence and success of Deep Neural Network (DNN) applications in recent years have motivated research on DNN compression, such as pruning and quantization. These techniques…