Resiliency of SNN on Black-Box Adversarial Attacks. - Bijay Raj Paudel; Aashish Itani; Spyros Tragoudas (ICMLA, 2021)

Predicting YOLO Misdetection by Learning Grid Cell Consensus. - Bijay Raj Paudel; Danushka Senarathna; Haibo Wang 005; Spyros Tragoudas; Yao Hu; Shengbing Jiang (ICMLA, 2021)

Improved CNN classification accuracy with the addition of shallow cascading CNNs. - Vasileios Pentsos; Bijay Raj Paudel; Spyros Tragoudas; Kiriti Nagesh Gowda; Mike Schmit (ICMLA, 2021)

Compressed Learning in MCA Architectures to Tolerate Malicious Noise. - Bijay Raj Paudel; Spyros Tragoudas (IOLTS, 2022)

On the Resiliency of an Analog Memristive Architecture against Adversarial Attacks. - Bijay Raj Paudel; Vasileios Pentsos; Spyros Tragoudas (ISQED, 2022)

The Impact of On-chip Training to Adversarial Attacks in Memristive Crossbar Arrays. - Bijay Raj Paudel; Spyros Tragoudas (ITC, 2022)

Adversarial Defense using Memristors and Input Preprocessing *. - Bijay Raj Paudel; Spyros Tragoudas (ISCAS, 2023)

High Precision Winner-Take-All Circuit for Neural Networks. - Bijay Raj Paudel; Haibo Wang 005; Spyros Tragoudas; Omkar Rijal (SOCC, 2023)

Memristive Crossbar Array-Based Adversarial Defense Using Compression. - Bijay Raj Paudel; Spyros Tragoudas (IEEE Trans. Emerg. Top. Comput., 2024)