2 citations · 4 across the 15 of their papers we have counts for
16 papers
KKTCode: Asymptotically Optimal Linear Codes for Noisy Feedback AWGN Channels
Hongjae Nam, Jonggyu Jang, Vishrant Tripathi +1
The design of optimal causal linear feedback schemes for additive white Gaussian noise (AWGN) channels with noisy output feedback has remained an open problem for over 60 years. Pr…
AirGC-CD: Gaussian-Circulant Precoding for Exactly Debiasable PAPR Reduction in Over-the-Air Federated Learning
Jonggyu Jang, Hyeonsu Lyu, Hyun Jong Yang
Over-the-air federated learning lets edge devices transmit their local updates simultaneously, reducing the communication overhead. The resulting waveform, however, has a peak-to-a…
MROP: Mask-Region Optimized Purification Against Backdoor Attack in Deep JSCC
Seongkyu Yang, Hyeonho Noh, Hyun Jong Yang +1
Deep joint source and channel coding (JSCC) transmits a source by mapping it directly to channel symbols through an end-to-end deep neural network (DNN) and reconstructing it at th…
MaskCode: Mask Transformer for Feedback-Assisted Coding With Linear Block Codes
Jonggyu Jang, Hongjae Nam, Vishrant Tripathi +2
Feedback-based coding schemes have demonstrated substantial performance gains over today's open-loop coding schemes. Unfortunately, these gains are usually achieved in idealized se…
Faithful and Fast Influence Function via Advanced Sampling
Jungyeon Koh, Hyeonsu Lyu, Jonggyu Jang +1
How can we explain the influence of training data on black-box models? Influence functions (IFs) offer a post-hoc solution by utilizing gradients and Hessians. However, computing t…
Joint Optimization of User Association and Resource Allocation for Load Balancing With Multi-Level Fairness
Jonggyu Jang, Hyeonsu Lyu, David J. Love +1
User association, the problem of assigning each user device to a suitable base station, is increasingly crucial as wireless networks become denser and serve more users with diverse…
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…
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…
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…
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…
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…
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…
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…
Rethinking Model Inversion Attacks With Patch-Wise Reconstruction
Jonggyu Jang, Hyeonsu Lyu, Hyun Jong Yang
Model inversion (MI) attacks aim to infer or reconstruct the training dataset through reverse-engineering from the target model's weights. Recently, significant advancements in gen…
Deeper Understanding of Black-box Predictions via Generalized Influence Functions
Hyeonsu Lyu, Jonggyu Jang, Sehyun Ryu +1
Influence functions (IFs) elucidate how training data changes model behavior. However, the increasing size and non-convexity in large-scale models make IFs inaccurate. We suspect t…
Resource Allocation and Power Control in Cooperative Small Cell Networks in Frequency Selective Channels with Backhaul Constraint
Jonggyu Jang, Hyun Jong Yang, Hyekyung Jwa
A joint resource allocation (RA), user association (UA), and power control (PC) problem is addressed for proportional fairness maximization in a cooperative multiuser downlink smal…