Susmita Sur-Kolay

TL;DR: This paper presents a systematic, algorithm-independent approach for mounting poisoning attacks across a wide range of machine-learning algorithms and healthcare datasets, and establishes the effectiveness of the proposed attacks using a suite of six machine- learning algorithms and five healthcare datasets.

TL;DR: Various services, applications, and systems that have been developed based on WMSs are discussed and a list of desirable design goals that WMS-based systems should satisfy are suggested.

TL;DR: This paper quantifies the energy and storage requirements of a continuous personal health monitoring system that uses eight biomedical sensors and proposes schemes for sample aggregation, anomaly-driven transmission, and compressive sensing to reduce the overheads of wirelessly transmitting, storing, and encrypting/authenticating the data.

TL;DR: This paper views power grid as performance limiter and develops a fault model to address the problem of vector generation for delay faults arising out of power delivery problems and a fault extraction methodology applied to a microprocessor design block is explained.

TL;DR: The physical design-aware fault-tolerant quantum circuit synthesis (PAQCS) contains two algorithms: one for physical qubit placement and another for routing of communications, which reduces the overhead of converting a logical to a physical circuit by 30.1%, on an average, relative to previous work.