3 papers
cs.CV2024
Replace-then-Perturb: Targeted Adversarial Attacks With Visual Reasoning for Vision-Language Models
Jonggyu Jang, Hyeonsu Lyu, Jungyeon Koh +1
The conventional targeted adversarial attacks add a small perturbation to an image to make neural network models estimate the image as a predefined target class, even if it is not…
cs.CV2024
Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding
Jonggyu Jang, Hyeonsu Lyu, Seongjin Hwang +1
This paper investigates the security vulnerabilities of adversarial-example-based image encryption by executing data reconstruction (DR) attacks on encrypted images. A representati…
eess.SP2024
Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach
Youjin Kim, Jonggyu Jang, Hyun Jong Yang
Despite the extensive research on massive MIMO systems for 5G telecommunications and beyond, the reality is that many deployed base stations are equipped with a limited number of a…