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20232026
most citedNoise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy

2 citations · 3 across the 16 of their papers we have counts for

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8 papers · 1 filter

cs.LG2024★ 1 cited

Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation

Jonggyu Jang, Hyeonsu Lyu, David J. Love +1

As 6G and beyond networks grow increasingly complex and interconnected, federated learning (FL) emerges as an indispensable paradigm for securely and efficiently leveraging decentr…

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.SY2024

Non-iterative Optimization of Trajectory and Radio Resource for Aerial Network

Hyeonsu Lyu, Jonggyu Jang, Harim Lee +1

We address a joint trajectory planning, user association, resource allocation, and power control problem to maximize proportional fairness in the aerial IoT network, considering pr…

cs.CR2024★ 2 cited

Noise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy

Sehyun Ryu, Jonggyu Jang, Hyun Jong Yang

The concept of differential privacy (DP) can quantitatively measure privacy loss by observing the changes in the distribution caused by the inclusion of individuals in the target d…

eess.SY2024

Joint Optimization on Uplink OFDMA and MU-MIMO for IEEE 802.11ax: Deep Hierarchical Reinforcement Learning Approach

Hyeonho Noh, Harim Lee, Hyun Jong Yang

This letter tackles a joint user scheduling, frequency resource allocation (USRA), multi-input-multi-output mode selection (MIMO MS) between single-user MIMO and multi-user (MU) MI…

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…

eess.SP2024

Distributed Task Offloading and Resource Allocation for Latency Minimization in Mobile Edge Computing Networks

Minwoo Kim, Jonggyu Jang, Youngchol Choi +1

The growth in artificial intelligence (AI) technology has attracted substantial interests in latency-aware task offloading of mobile edge computing (MEC)-namely, minimizing service…