Resilience and Safety

Associated Publications

2023

Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility

Kai-Chieh Hsu, Karen Leung, Yuxiao Chen, Jaime Fernandez Fisac, Marco Pavone

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles

Pasquale Antonante, Sushant Veer, Karen Leung, Xinshuo Weng, Luca Carlone, Marco Pavone

Robotics: Science and Systems (RSS) 2023

Implicit Memory Tagging: No-Overhead Memory Safety Using Alias-Free Tagged ECC

Michael B. Sullivan, Mohamed Tarek Ibn Ziad, Aamer Jaleel, Stephen W. Keckler

International Symposium on Computer Architecture (ISCA)

Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation

Heng Yang, Marco Pavone

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

Selected as a Highlight Paper

Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition

Sever Topan, Yuxiao Chen, Ed Schmerling, Karen Leung, Jonas Nilsson, Michael Cox, Marco Pavone

IEEE Intelligent Vehicles Symposium (IV)

Learning Autonomous Vehicle Safety Concepts from Demonstrations

Karen Leung, Sushant Veer, Edward Schmerling, Marco Pavone

American Control Conference (ACC) 2023

Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models

Filippos Christianos, Peter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone

IEEE International Conference on Robotics and Automation (ICRA) 2023

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles

Sushant Veer, Karen Leung, Ryan Cosner, Yuxiao Chen, Marco Pavone

IEEE International Conference on Robotics and Automation (ICRA) 2023

2022

Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles

Alec Farid, Sushant Veer, Boris Ivanovic, Karen Leung, Marco Pavone

Conference on Robot Learning (CoRL) 2022

Robust Trajectory Prediction against Adversarial Attacks

Yulong Cao, Danfei Xu, Xinshuo Weng, Z. Morely Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone

Conference on Robot Learning (CoRL) 2022

Selected for Oral Presentation

Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications

Bo Fang, Siva Hari, Timothy Tsai, Xinyi Li, Ganesh Gopalakrishnan, Ignacio Laguna, Kevin Barker, Ang Li

Workshop on Fault-Tolerance for HPC at Extreme Scale (FTXS)

SEC-BADAEC: An Efficient ECC With No Vacancy for Strong Memory Protection

Yuseok Song, Sangjae Park, Michael B. Sullivan, Jungrae Kim

IEEE Access

Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles

Yu-Shun Hsiao, Siva Hari, Michał Filipiuk, Timothy Tsai, Michael B. Sullivan, Vijay Janapa Reddi, Vasu Singh, Steve Keckler

Design Automation Conference (DAC)

Exploiting Temporal Data Diversity for Detecting Safety-critical Faults in AV Compute Systems

Saurabh Jha, Shengkun Cui, Timothy Tsai, Siva Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Steve Keckler, Ravishankar K. Iyer

International Conference on Dependable Systems and Networks (DSN)

Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation

Sever Topan, Karen Leung, Yuxiao Chen, Pritish Tupekar, Edward Schmerling, Jonas Nilsson, Michael Cox, Marco Pavone

IEEE Intelligent Vehicles Symposium (IV) 2022

Zhuyi: Perception Processing Rate Estimation for Safety in Autonomous Vehicles

Yu-Shun Hsiao, Siva Hari, Michał Filipiuk, Timothy Tsai, Michael B. Sullivan, Vijay Janapa Reddi, Vasu Singh, Steve Keckler

arXiv

Characterizing and Mitigating Soft Errors in GPU DRAM

Michael B. Sullivan, Nirmal R. Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Kumar Sastry Hari, Stephen W. Keckler

IEEE Micro (Issue: Top Picks of the 2021 Computer Architecture Conferences)

2021

Optimizing Selective Protection for CNN Resilience

Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Steve Keckler

International Symposium on Software Reliability Engineering (ISSRE)

Suraksha: A Framework to Analyze the Safety Implications of Perception Design Choices in AVs

Hengyu Zhao, Siva Hari, Timothy Tsai, Michael B. Sullivan, Steve Keckler, Jishen Zhao

International Symposium on Software Reliability Engineering (ISSRE)

Characterizing and Mitigating Soft Errors in GPU DRAM

Michael B. Sullivan, Nirmal Saxena, Mike O'Connor, Donghyuk Lee, Paul Racunas, Saurabh Hukerikar, Timothy Tsai, Siva Hari, Steve Keckler

International Symposium on Microarchitecture (MICRO)

IEEE Micro Top Picks in Computer Architecture

Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles

Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar

IEEE Intelligent Vehicles Symposium (IV)

Suraksha: A Quantitative AV Safety Evaluation Framework to Analyze Safety Implications of Perception Design Choices

Hengyu Zhao, Siva Hari, Timothy Tsai, Michael B. Sullivan, Steve Keckler, Jishen Zhao

Workshop on Safety and Security of Intelligent Vehicles (SSIV)

NVBitFI: Dynamic Fault Injection for GPUs

Timothy Tsai, Siva Hari, Michael B. Sullivan, Oreste Villa, Steve Keckler

International Conference on Dependable Systems and Networks (DSN)

Simulation Driven Design and Test for Safety of AI Based Autonomous Vehicles

Vasu Singh, Siva Hari, Timothy Tsai, Mandar Pitale

Workshop on Safe Artificial Intelligence for Automated Driving (SAIAD)

Demystifying GPU Reliability: Comparing and Combining Beam Experiments, Fault Simulation, and Profiling

Fernando Fernandes dos Santos, Siva Hari, Pedro Martins Basso, Luigi Carro, Paolo Rech

IEEE International Parallel & Distributed Processing Symposium (IPDPS)

Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles

Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar

arXiv

Making Convolutions Resilient via Algorithm-Based Error Detection Techniques

Siva Hari, Michael B. Sullivan, Timothy Tsai, Steve Keckler

IEEE Transactions on Dependable and Secure Computing (TDSC)

Reduced Precision DWC: An Efficient Hardening Strategy for Mixed-Precision Architectures

Fernando F. dos Santos, Marcelo Brandalero, Michael B. Sullivan, Pedro M. Basso, Michael Hubner, Luigi Carro, Paolo Rech

IEEE Transactions on Computers

2020

GPU-Trident: Efficient Modeling of Error Propagation in GPU Programs

Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael B. Sullivan, Timothy Tsai, Siva Hari

The International Conference for High Performance Computing, Networking, Storag…

Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles

Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar

IEEE International Workshop on Automotive Reliability & Test (ART)

Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles

Zahra Ghodsi, Siva Hari, Iuri Frosio, Timothy Tsai, Alejandro Troccoli, Steve Keckler, Siddharth Garg, Anima Anandkumar

IEEE Automotive Reliability and Test Workshop

AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems

Guangpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael B. Sullivan, Siva Hari, Zbigniew Kalbarczyk, Ravishankar Iyer

International Symposium on Software Reliability Engineering (ISSRE)

Best Paper award

HarDNN: Fine-Grained Vulnerability Evaluation and Protection for Convolutional Neural Networks

Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Steve Keckler

SRC TECHCON

ML-driven Malware that Targets AV Safety

Saurabh Jha, Shengkun Cui, Subho S. Banerjee, James Cyriac, Timothy Tsai, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer

International Conference on Dependable Systems and Networks (DSN)

PyTorchFI: A Runtime Perturbation Tool for DNNs

Abdulrahman Mahmoud, Neeraj Aggarwal, Alex Nobbe, Jose Rodrigo Sanchez Vicarte, Sarita V. Adve, Christopher W. Fletcher, Iuri Frosio, Siva Hari

Workshop on Dependable and Secure Machine Learning

Making Convolutions Resilient via Algorithm-Based Error Detection Techniques

Siva Hari, Michael B. Sullivan, Timothy Tsai, Steve Keckler

arXiv

Estimating Silent Data Corruption Rates Using a Two-Level Model

Siva Hari, Paolo Rech, Timothy Tsai, Mark Stephenson, Arslan Zulfiqar, Michael B. Sullivan, Philip Shirvani, Paul Racunas, Joel Emer, Steve Keckler

arXiv

ML-driven Malware that Targets AV Safety

Saurabh Jha, Shengkun Cui, Subho S. Banerjee, James Cyriac, Timothy Tsai, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer

arXiv

Feature Map Vulnerability Evaluation in CNNs

Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Steve Keckler

Workshop on Secure and Resilient Autonomy

HarDNN: Feature Map Vulnerability Evaluation in CNNs

Abdulrahman Mahmoud, Siva Hari, Christopher W. Fletcher, Sarita V. Adve, Charbel Sakr, Naresh Shanbhag, Pavlo Molchanov, Michael B. Sullivan, Timothy Tsai, Steve Keckler

arXiv