4 papers
PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting
Elad Feldman, Jacob Shams, Dudi Biton +7
The safety of autonomous cars has come under scrutiny in recent years, especially after 16 documented incidents involving Teslas (with autopilot engaged) crashing into parked emerg…
A Privacy Enhancing Technique to Evade Detection by Street Video Cameras Without Using Adversarial Accessories
Jacob Shams, Ben Nassi, Satoru Koda +2
In this paper, we propose a privacy-enhancing technique leveraging an inherent property of automatic pedestrian detection algorithms, namely, that the training of deep neural netwo…
SoK: On the Offensive Potential of AI
Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human +13
Our society increasingly benefits from Artificial Intelligence (AI). Unfortunately, more and more evidence shows that AI is also used for offensive purposes. Prior works have revea…
Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World
Dudi Biton, Jacob Shams, Satoru Koda +3
The traditional learning process of patch-based adversarial attacks, conducted in the digital domain and then applied in the physical domain (e.g., via printed stickers), may suffe…