Search Results for author: Sara Rampazzi

Found 5 papers, 0 papers with code

Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving

no code implementations16 Jul 2019 Yulong Cao, Chaowei Xiao, Benjamin Cyr, Yimeng Zhou, Won Park, Sara Rampazzi, Qi Alfred Chen, Kevin Fu, Z. Morley Mao

In contrast to prior work that concentrates on camera-based perception, in this work we perform the first security study of LiDAR-based perception in AV settings, which is highly important but unexplored.

Autonomous Driving BIG-bench Machine Learning +2

Explaining RADAR features for detecting spoofing attacks in Connected Autonomous Vehicles

no code implementations1 Mar 2022 Nidhi Rastogi, Sara Rampazzi, Michael Clifford, Miriam Heller, Matthew Bishop, Karl Levitt

We present a model that explains \textit{certainty} and \textit{uncertainty} in sensor input -- a missing characteristic in data collection.

Autonomous Vehicles

Side Eye: Characterizing the Limits of POV Acoustic Eavesdropping from Smartphone Cameras with Rolling Shutters and Movable Lenses

no code implementations24 Jan 2023 Yan Long, Pirouz Naghavi, Blas Kojusner, Kevin Butler, Sara Rampazzi, Kevin Fu

Our paper characterizes the limits of acoustic information leakage caused by structure-borne sound that perturbs the POV of smartphone cameras.

Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception

no code implementations7 Jan 2024 Takami Sato, Sri Hrushikesh Varma Bhupathiraju, Michael Clifford, Takeshi Sugawara, Qi Alfred Chen, Sara Rampazzi

We evaluate the effectiveness of the ILR attack with real-world experiments against two major traffic sign recognition architectures on four IR-sensitive cameras.

Traffic Sign Recognition

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