no code implementations • 25 Apr 2021 • Xinwei Zhao, Matthew C. Stamm
Visually realistic GAN-generated images have recently emerged as an important misinformation threat.
no code implementations • 26 Jan 2021 • Xinwei Zhao, Matthew C. Stamm
Understanding the transferability of adversarial attacks, i. e. an attacks ability to attack a different CNN than the one it was trained against, has important implications for designing CNNs that are resistant to attacks.
no code implementations • 26 Jan 2021 • Xinwei Zhao, Matthew C. Stamm
In this paper, we propose new defenses that can protect against multi-sticker attacks.
no code implementations • 23 Jan 2021 • Xinwei Zhao, Chen Chen, Matthew C. Stamm
In this paper, we propose a new anti-forensic attack framework designed to remove forensic traces left by a variety of manipulation operations.