computer-vision

Main Stage·46 min

• DEF CON
• Privacy
• Date: Aug 2026
• Location: Las Vegas

Bill Swearingen

Bill Swearingen explores whether adversarial patterns printed on everyday clothing can effectively fool commercial and municipal facial recognition algorithms.

Black Hat·27 min

• Black Hat
• Red Team
• Date: 2025
• Location: Black Hat

Masaki Kamizono · Yin Minn Pa Pa · Paul Ziegler

Engineers explore architecture and security mechanisms for Hiding Objects from Computer Vision by Exploiting Correlation Biases.

IEEE Symposium on Security and Privacy·12 min

• IEEE SP
• Red Team
• Date: 2025
• Location: Ieee Sp

Security researchers examine technical aspects of Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings.

The Linux Foundation·46 min

• LINUX FOUNDATION
• AI Security
• Date: 2025
• Location: Linux Foundation

Outlines computer Vision to Secure Your Surroundings with AI/ML Solution Built Using Open Source Tools and evaluates key implications for security practitioners.

AusCERT·39 min

• AUSCERT
• Blue Team
• Date: 2022
• Location: Auscert

Demonstrates conference Day 2 - USING MACHINE LEARNING, COMPUTER VISION AND TEXT MINING and evaluates key implications for security practitioners.

geecon conference·50 min

• GEECON
• AI Security
• Date: 2022
• Location: Geecon

Deep Learning in Computer Vision

GeeCON 2018: Krzysztof Kudryński / Błażej Kubiak - Deep Learning in Computer Vision.

Strange Loop Conference·30 min

• STRANGE LOOP
• AI Security
• Date: 2022
• Location: Strange Loop

Presenters detail vulnerability discovery and exploitation in "Computer Vision and NLP for Multi-Task Fashion Modeling" by Michael Sugimura.

Car Hacking Village·39 min

• DEF CON
• Hardware
• Date: Aug 2021
• Location: Las Vegas

Ben Nassi

Ben Nassi demonstrates 'split-second phantom attacks', projecting fleeting images onto roads to trick Tesla Autopilot and Mobileye into sudden phantom braking.

Main Stage·17 min

• DEF CON
• AI Security
• Date: May 2019
• Location: Beijing

Wang Yang · Junfeng Xiong · Liu Yan · Hao Xin · Wei Tao

Wang Yang and Junfeng Xiong explores face swapping video detection at DEF CON China 1, examining deepfake and practical defenses.

AI Village·17 min

• DEF CON
• AI Security
• Date: Aug 2018
• Location: Las Vegas

Xingxing Wei

Accelerating and stabilizing adversarial perturbation generation using momentum-based gradient optimization.

AI Village·28 min

• DEF CON
• AI Security
• Date: Aug 2018
• Location: Las Vegas

Weilin Xu

Adversarial physical and digital perturbations that make objects disappear from autonomous driving perception models.