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07/04/2023
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction
Machine learning (ML) models are vulnerable to membership inference atta...
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09/09/2022
Replay-based Recovery for Autonomous Robotic Vehicles from Sensor Deception Attacks
Sensors are crucial for autonomous operation in robotic vehicles (RV). P...
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10/17/2021
Characterizing and Improving the Resilience of Accelerators in Autonomous Robots
Motion planning is a computationally intensive and well-studied problem ...
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08/16/2021
Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision
Convolutional neural networks (CNNs) have become an established part of ...
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08/11/2021
Turning Your Strength against You: Detecting and Mitigating Robust and Universal Adversarial Patch Attack
Adversarial patch attack against image classification deep neural networ...
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05/23/2020
How Effective are Smart Contract Analysis Tools? Evaluating Smart Contract Static Analysis Tools Using Bug Injection
Security attacks targeting smart contracts have been on the rise, which ...
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04/03/2020
TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications
As machine learning (ML) has seen increasing adoption in safety-critical...
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03/30/2020
