In-memory Machine Learning using Adaptive Multivariate Decision Trees and Memristors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
In-Memory Machine Learning Using Hybrid Decision Trees and Memristor Crossbars.
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2023
Designing Energy-Efficient Decision Tree Memristor Crossbar Circuits Using Binary Classification Graphs.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Design and Fabrication of Flow-Based Edge Detection Memristor Crossbar Circuits<sup>1</sup>.
IEEE Trans. Circuits Syst. II Express Briefs, 2020
Attacking NIST biometric image software using nonlinear optimization.
Pattern Recognit. Lett., 2020
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks.
CoRR, 2020
Automated Synthesis of Memristor Crossbars Using Deep Neural Networks.
Proceedings of the Intelligent Data Engineering and Analytics, 2020
Detecting Deepfake Videos using Attribution-Based Confidence Metric.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Input-Aware Flow-Based Computing on Memristor Crossbars With Applications to Edge Detection.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019
Attribution-driven Causal Analysis for Detection of Adversarial Examples.
CoRR, 2019
Attribution-Based Confidence Metric For Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
On the Susceptibility of Deep Neural Networks to Natural Perturbations.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019
Predicting Heart Rate Variations of Deepfake Videos using Neural ODE.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Directed Adversarial Attacks on Fingerprints using Attributions.
Proceedings of the 2019 International Conference on Biometrics, 2019
Predicting Success in Undergraduate Parallel Programming via Probabilistic Causality Analysis.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018
Duality-Based Nested Controller Synthesis from STL Specifications for Stochastic Linear Systems.
Proceedings of the Formal Modeling and Analysis of Timed Systems, 2018
A theorem proving approach for automatically synthesizing visualizations of flow cytometry data.
BMC Bioinform., 2017
A compact 8-bit adder design using in-memory memristive computing: Towards solving the Feynman Grand Prize challenge.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2017
In-Memory Execution of Compute Kernels Using Flow-Based Memristive Crossbar Computing.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017
Adversarial attacks on computer vision algorithms using natural perturbations.
Proceedings of the Tenth International Conference on Contemporary Computing, 2017
<i>SATYA</i> : Defending Against Adversarial Attacks Using Statistical Hypothesis Testing.
Proceedings of the Foundations and Practice of Security - 10th International Symposium, 2017
Testing autonomous cyber-physical systems using fuzzing features from convolutional neural networks: work-in-progress.
Proceedings of the Thirteenth ACM International Conference on Embedded Software 2017 Companion, 2017