Testing autonomous cyber-physical systems using fuzzing features from convolutional neural networks: work-in-progress. - Sunny Raj; Sumit Kumar Jha 001; Arvind Ramanathan; Laura L. Pullum (EMSOFT Companion, 2017)

SATYA : Defending Against Adversarial Attacks Using Statistical Hypothesis Testing. - Sunny Raj; Laura Pullum; Arvind Ramanathan; Sumit Kumar Jha 001 (FPS, 2017)

Adversarial attacks on computer vision algorithms using natural perturbations. - Arvind Ramanathan; Laura L. Pullum; Zubir Husein; Sunny Raj; Neslisah Torosdagli; Sumanta N. Pattanaik; Sumit Kumar Jha 001 (IC3, 2017)

In-Memory Execution of Compute Kernels Using Flow-Based Memristive Crossbar Computing. - Dwaipayan Chakraborty; Sunny Raj; Julio Cesar Gutierrez; Troyle Thomas; Sumit Kumar Jha 001 (ICRC, 2017)

A compact 8-bit adder design using in-memory memristive computing: Towards solving the Feynman Grand Prize challenge. - Dwaipayan Chakraborty; Sunny Raj; Sumit Kumar Jha 001 (NANOARCH, 2017)

A theorem proving approach for automatically synthesizing visualizations of flow cytometry data. - Sunny Raj; Faraz Hussain 001; Zubir Husein; Neslisah Torosdagli; Damla Turgut; Narsingh Deo; Sumanta N. Pattanaik; Chung-Che Jeff Chang; Sumit Kumar Jha 001 (BMC Bioinform., 2017)

Duality-Based Nested Controller Synthesis from STL Specifications for Stochastic Linear Systems. - Susmit Jha; Sunny Raj; Sumit Kumar Jha 001; Natarajan Shankar (FORMATS, 2018)

Predicting Success in Undergraduate Parallel Programming via Probabilistic Causality Analysis. - Sunny Raj; Sumit Kumar Jha 001 (IPDPS Workshops, 2018)

Directed Adversarial Attacks on Fingerprints using Attributions. - Steven Lawrence Fernandes; Sunny Raj; Eddy Ortiz; Iustina Vintila; Sumit Kumar Jha 001 (ICB, 2019)

Predicting Heart Rate Variations of Deepfake Videos using Neural ODE. - Steven Lawrence Fernandes; Sunny Raj; Eddy Ortiz; Iustina Vintila; Margaret Salter; Gordana Urosevic; Sumit Kumar Jha 001 (ICCV Workshops, 2019)

On the Susceptibility of Deep Neural Networks to Natural Perturbations. - Mesut Ozdag; Sunny Raj; Steven Lawrence Fernandes; Alvaro Velasquez; Laura Pullum; Sumit Kumar Jha 001 (AISafety@IJCAI, 2019)

Attribution-Based Confidence Metric For Deep Neural Networks. - Susmit Jha; Sunny Raj; Steven Lawrence Fernandes; Sumit Kumar Jha 001; Somesh Jha; Brian Jalaian; Gunjan Verma; Ananthram Swami (NeurIPS, 2019)

Attribution-driven Causal Analysis for Detection of Adversarial Examples. - Susmit Jha; Sunny Raj; Steven Lawrence Fernandes; Sumit Kumar Jha 001; Somesh Jha; Gunjan Verma; Brian Jalaian; Ananthram Swami (CoRR, 2019)

Input-Aware Flow-Based Computing on Memristor Crossbars With Applications to Edge Detection. - Dwaipayan Chakraborty; Sunny Raj; Steven Lawrence Fernandes; Sumit Kumar Jha 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Detecting Deepfake Videos using Attribution-Based Confidence Metric. - Steven Lawrence Fernandes; Sunny Raj; Rickard Ewetz; Jodh Singh Pannu; Sumit Kumar Jha 001; Eddy Ortiz; Iustina Vintila; Margaret Salter (CVPR Workshops, 2020)

Automated Synthesis of Memristor Crossbars Using Deep Neural Networks. - Dwaipayan Chakraborty; Andy Michel; Jodh S. Pannu; Sunny Raj; Suresh Chandra Satapathy; Steven Lawrence Fernandes; Sumit Kumar Jha 001 (FICTA (2), 2020)

An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks. - Sumit Kumar Jha 001; Susmit Jha; Rickard Ewetz; Sunny Raj; Alvaro Velasquez; Laura L. Pullum; Ananthram Swami (CoRR, 2020)

Attacking NIST biometric image software using nonlinear optimization. - Sunny Raj; Jodh S. Pannu; Steven Lawrence Fernandes; Arvind Ramanathan; Laura L. Pullum; Sumit Kumar Jha 001 (Pattern Recognit. Lett., 2020)

Design and Fabrication of Flow-Based Edge Detection Memristor Crossbar Circuits1. - Jodh S. Pannu; Sunny Raj; Steven Lawrence Fernandes; Dwaipayan Chakraborty; Sarah Rafiq; Nathaniel C. Cady; Sumit Kumar Jha 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Designing Energy-Efficient Decision Tree Memristor Crossbar Circuits Using Binary Classification Graphs. - Pranav Sinha; Sunny Raj (ICCAD, 2022)

In-Memory Machine Learning Using Hybrid Decision Trees and Memristor Crossbars. - Akash Chavan; Pranav Sinha; Sunny Raj (iSES, 2023)

In-memory Machine Learning using Adaptive Multivariate Decision Trees and Memristors. - Akash Chavan; Pranav Sinha; Sunny Raj (ISCAS, 2024)

Circuit Partitioning Using Large Language Models for Quantum Compilation and Simulations. - Pranav Sinha; Sumit Kumar Jha 001; Sunny Raj (CoRR, 2025)