Pin-Yu Chen

Analyzing and Improving Resilience and Robustness of Autonomous Systems (Invited Paper)

Karthik Swaminathan, A. Raychowdhury, N. Chandramoorthy, 2022, 2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

Assessing the Resilience of Machine Learning Classification Algorithms on SARS-CoV-2 Genome Sequences Generated with Long-Read Specific Errors

Sarwan Ali, Murray Patterson, Pin-Yu Chen, 2023, Biomolecules.

Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation

Pin-Yu Chen, Neel Bhandari, 2023, IEEE International Conference on Acoustics, Speech, and Signal Processing.

Unveiling the Robustness of Machine Learning Models in Classifying COVID-19 Spike Sequences

Sarwan Ali, Murray Patterson, Pin-Yu Chen, 2023, bioRxiv.

BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems

V. Reddi, Karthik Swaminathan, A. Raychowdhury, 2023, 2023 60th ACM/IEEE Design Automation Conference (DAC).

Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming

Alex Gittens, Pin-Yu Chen, Huzaifa Arif, 2023, 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML).

NeuralFuse: Learning to Improve the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes

Lei Hsiung, Tsung-Yi Ho, Pin-Yu Chen, 2023, ArXiv.