Predictive analytics using the time-series data collected from various types of sensors is a
fundamental task that enables diverse mobile and Internet of Things applications including …

Robust codes C (n, k) q are nonlinear q-ary codes of dimension k and length n≤ 2k. Robust
codes can detect any error with nonzero probability; hence, they can effectively detect fault …

The widespread use of Internet-of-Things (IoT) across different application domains leads to
an increased concern regarding their dependability, especially as the number of potentially …

Abstract The Internet-of-Things (IoT) has shown substantial growth throughout the years,
especially due to advancements in connectivity, computing power, and device affordability …

Despite the rapid progress in research on the robustness of deep neural networks (DNNs)
for images and text, there is little principled work for the time-series domain. Since timeseries …

Optical fault injection attacks can be used to induce errors into cryptographic circuits during
sensitive calculations in order to reveal the secret information inside the system. In high-end …

Robust codes can effectively detect jamming in q-ary memories for q= 2 t. When q is not a
power of two, a binary information word has to be converted into a q-ary word prior to the …