3 papers
cs.CR2026
Survival of the Cheapest: Cost-Aware Hardware Adaptation for Adversarial Robustness
Charles Meyers, Mohammad Reza Saleh Sedghpour, Tommy Löfstedt +1
Deploying adversarially robust machine learning systems requires continuous trade-offs between robustness, cost, and latency. We present an autonomic decision-support framework pro…
cs.LG2026
Tiny, Hardware-Independent, Compression-based Classification
Charles Meyers, Aaron MacSween, Erik Elmroth +1
The recent developments in machine learning have highlighted a conflict between online platforms and their users in terms of privacy. The importance of user privacy and the struggl…
cs.LG2024
A Training Rate and Survival Heuristic for Inference and Robustness Evaluation (TRASHFIRE)
Charles Meyers, Mohammad Reza Saleh Sedghpour, Tommy Löfstedt +1
Machine learning models -- deep neural networks in particular -- have performed remarkably well on benchmark datasets across a wide variety of domains. However, the ease of finding…