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06/13/2023
CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems
Modern computer systems are highly-configurable, with hundreds of config...
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06/10/2023
Language-Guided Traffic Simulation via Scene-Level Diffusion
Realistic and controllable traffic simulation is a core capability that ...
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10/31/2022
Guided Conditional Diffusion for Controllable Traffic Simulation
Controllable and realistic traffic simulation is critical for developing...
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03/24/2022
Repairing Group-Level Errors for DNNs Using Weighted Regularization
Deep Neural Networks (DNNs) have been widely used in software making dec...
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09/14/2021
Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving
Autonomous driving (AD) systems have been thriving in recent years. In g...
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09/13/2021
Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles
Self-driving cars and trucks, autonomous vehicles (AVs), should not be a...
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10/09/2020
Understanding Spatial Robustness of Deep Neural Networks
Deep Neural Networks (DNNs) are being deployed in a wide range of settin...
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09/03/2019
Metric Learning for Adversarial Robustness
Deep networks are well-known to be fragile to adversarial attacks. Using...
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05/20/2019
Testing Deep Neural Network based Image Classifiers
Image classification is an important task in today's world with many app...
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01/30/2019
Noise-tolerant fair classification
Fair machine learning concerns the analysis and design of learning algor...
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11/28/2017
PhasePack: A Phase Retrieval Library
Phase retrieval deals with the estimation of complex-valued signals sole...
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11/24/2017
