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New 'SLASH' Attack Exploits Camera Lens Scratches for Adversarial Vision

Researchers have identified a new type of physical adversarial attack on vision systems, termed SLASH (Scratch-induced Lens Adversarial Streak Hijacking). This attack exploits small scratches on camera lenses or protective covers, which, when interacting with light sources, create structured streak artifacts that distort depth cues. The attack is persistent as the damage is fixed, but selective as it is triggered by specific scene conditions, leading to significant errors in monocular depth estimation and 3D object detection. AI

IMPACT Reveals a new attack surface where physical imperfections can be exploited to compromise vision system accuracy, necessitating new defenses.

RANK_REASON The cluster contains a research paper detailing a novel attack method on computer vision systems.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Qinlin He (Brian), Zeming Zhuang (Brian), Yongji Wu (Brian), Lan Zhang (Brian), Xiaoyong (Brian), Yuan ·

    Scratched Lenses, Shifted Depth: Passive Camera-Side Optical Attacks

    arXiv:2606.14504v1 Announce Type: new Abstract: Physical adversarial attacks on vision systems are typically studied through scene manipulation, such as adversarial patches or projections, where the adversary controls what the camera observes. Camera-side attacks using stickers o…

  2. arXiv cs.CV TIER_1 English(EN) · Yuan ·

    Scratched Lenses, Shifted Depth: Passive Camera-Side Optical Attacks

    Physical adversarial attacks on vision systems are typically studied through scene manipulation, such as adversarial patches or projections, where the adversary controls what the camera observes. Camera-side attacks using stickers or auxiliary optics have also been explored, but …