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Illusion of Depth: Revealing Hidden Stereo Vision Vulnerabilities in Depth Estimation
Simple repeating patterns let attackers shift stereo-camera depth estimates by up to 20 meters, triggering emergency braking in autonomous driving frameworks at 40 km/h.
The paper reveals an intrinsic vulnerability in stereo cameras stemming from pixel sampling and calibration processes, letting attackers finely control estimated depth of real obstacles using simple repeating patterns without adversarial ML techniques. The attack was evaluated against BM and SGBM stereo matching algorithms, deep learning models PSMNet, MoCha-Stereo, and UniMatch, the stereo-LiDAR fusion model SGM-DDC, and commercial cameras ZED2 and Intel RealSense D435; on ZED2, obstacles can be displaced up to 20 meters farther or 12 meters closer. A 0.5-second attack triggered emergency braking in a popular autonomous driving framework, with feasibility confirmed at driving speeds up to 40 km/h using CARLA. State-of-the-art defenses proved ineffective, and the authors propose a similarity-score strategy to dynamically detect and suppress depth discrepancies.
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Your Expired Visa Card Could Be ‘Zombified’ to Make Contactless Payments
Roundup: expired Visa cards can be revived for contactless payments via NFC relay; plus Apple spyware warnings and Ukraine cyberattacks on Russian e-commerce.
WIRED's weekly security roundup leads with research showing expired Visa contactless cards can be revived to make new payments through an NFC man-in-the-middle attack that alters the card's expiration date. The roundup also covers Apple sending an unprecedented volume of spyware warnings to users and Ukrainian cyber and drone attacks against a major Russian e-commerce company.
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