65 citations · 197 across the 32 of their papers we have counts for
36 papers · 1 filter
Digital-Twin-Referenced Belief-Guided Q-Learning for Jammer Identification and Beam-Power Control in a mmWave Model
Parmida Geranmayeh, Onur Günlü
Digital Twin (DT) combined with reinforcement learning (RL) can support adaptive resource allocation and security-aware decision-making by comparing expected and observed network b…
Secure OFDM-IM ISAC With Artificial-Noise-Aided Index Deception
Ufuk Altun, Onur Günlü
We propose an artificial noise (AN)-aided, secure OFDM with index modulation (OFDM-IM) framework for integrated sensing and communication (ISAC). Consider a security-critical scena…
Bayesian-Guided Cooperative RL Beamforming for Wireless Adversarial User Detection
Parmida Geranmayeh, Onur Günlü
In next-generation wireless networks, communication systems are expected to go beyond simple data transmission and simultaneously provide high data rates, efficiency, and security.…
EML-AirComp: Layered Over-the-Air Computation from a Single Nomographic Gate
Onur Günlü
Over-the-air computation (AirComp) exploits multiple-access superposition to compute functions of distributed data without separately decoding all terminal messages. We study a reu…
6G Sensing Security: Distributed Game-Theoretic RL for Urban Beamforming and Attacker Detection
Parmida Geranmayeh, Onur Günlü
In next-generation networks, communication systems will no longer be limited to data transmission and will be expected to acquire awareness of the surrounding environment. This lea…
ISAC Privacy: Challenges and Solutions for 6G
Onur Günlü, Stefano Tomasin, João P. Vilela +4
Integrated sensing and communication (ISAC) is a promising feature of future communication networks. While spatial sensing can improve network performance and enable external servi…
Secure Integrated Sensing and Communication: Information Theory Offers Insights
Truman Welling, Onur Günlü, Aylin Yener
Integrated sensing and communication (ISAC) combines sensing and communication within a shared system framework by using the same transmitted signal for both objectives. ISAC can i…
Secure Rate-Distortion-Perception: A Randomized Distributed Function Computation Approach for Realism
Gustaf Åhlgren, Onur Günlü
Fundamental rate-distortion-perception (RDP) trade-offs arise in applications requiring maintained perceptual quality of reconstructed data, such as neural image compression. When…
Deep Randomized Distributed Function Computation (DeepRDFC): Neural Distributed Channel Simulation
Didrik Bergström, Onur Günlü
The randomized distributed function computation (RDFC) framework, which unifies many cutting-edge distributed computation and learning applications, is considered. An autoencoder (…
Randomized Distributed Function Computation (RDFC): Ultra-Efficient Semantic Communication Applications to Privacy
Onur Günlü
We establish the randomized distributed function computation (RDFC) framework, in which a sender transmits just enough information for a receiver to generate a randomized function…
Feedback Lunch: Learned Feedback Codes for Secure Communications
Yingyao Zhou, Natasha Devroye, Onur Günlü
We consider reversely-degraded secure-communication channels, for which the secrecy capacity is zero if there is no channel feedback. Specifically, we focus on a seeded modular cod…
Forward-Forward Autoencoder Architectures for Energy-Efficient Wireless Communications
Daniel Seifert, Onur Günlü, Rafael F. Schaefer
The application of deep learning to the area of communications systems has been a growing field of interest in recent years. Forward-forward (FF) learning is an efficient alternati…
Multi-hop Deep Joint Source-Channel Coding with Deep Hash Distillation for Semantically Aligned Image Recovery
Didrik Bergström, Deniz Gündüz, Onur Günlü
We consider image transmission via deep joint source-channel coding (DeepJSCC) over multi-hop additive white Gaussian noise (AWGN) channels by training a DeepJSCC encoder-decoder p…
Communication-Efficient Distributed Computing Through Combinatorial Multi-Access Models
Shanuja Sasi, Onur Günlü
This paper explores the multi-access distributed computing (MADC) model, a novel distributed computing framework where mapper and reducer nodes are distinct entities. Unlike tradit…
Novel Constructions for Computation and Communication Trade-offs in Private Coded Distributed Computing
Shanuja Sasi, Onur Günlü
Distributed computing enables scalable machine learning by distributing tasks across multiple nodes, but ensuring privacy in such systems remains a challenge. This paper introduces…
Modular Neural Wiretap Codes for Fading Channels
Daniel Seifert, Onur Günlü, Rafael F. Schaefer
The wiretap channel is a well-studied problem in the physical layer security literature. Although it is proven that the decoding error probability and information leakage can be ma…
Secure Coded Distributed Computing
Shanuja Sasi, Onur Günlü
In this paper, we consider two critical aspects of security in the distributed computing (DC) model: secure data shuffling and secure coded computing. It is imperative that any ext…
Rate-limited Shuffling for Distributed Computing
Shanuja Sasi, Onur Günlü
This paper studies the shuffling phase in a distributed computing model with rate-limited links between nodes. Each node is connected to all other nodes via a noiseless broadcast l…
Secure Integrated Sensing and Communication
Onur Günlü, Matthieu R. Bloch, Rafael F. Schaefer +1
This work considers the problem of mitigating information leakage between communication and sensing in systems jointly performing both operations. Specifically, a discrete memoryle…
Concatenated Classic and Neural (CCN) Codes: ConcatenatedAE
Onur Günlü, Rick Fritschek, Rafael F. Schaefer
Small neural networks (NNs) used for error correction were shown to improve on classic channel codes and to address channel model changes. We extend the code dimension of any such…
Secure and Private Source Coding with Private Key and Decoder Side Information
Onur Günlü, Rafael F. Schaefer, Holger Boche +1
The problem of secure source coding with multiple terminals is extended by considering a remote source whose noisy measurements are the correlated random variables used for secure…
Secure Joint Communication and Sensing
Onur Günlü, Matthieu Bloch, Rafael F. Schaefer +1
This work considers the problem of mitigating information leakage between communication and sensing in systems jointly performing both operations. Specifically, a discrete memoryle…
Function Computation Under Privacy, Secrecy, Distortion, and Communication Constraints
Onur Günlü
The problem of reliable function computation is extended by imposing privacy, secrecy, and storage constraints on a remote source whose noisy measurements are observed by multiple…
Doubly-Exponential Identification via Channels: Code Constructions and Bounds
Onur Günlü, Joerg Kliewer, Rafael F. Schaefer +1
Consider the identification (ID) via channels problem, where a receiver wants to decide whether the transmitted identifier is its identifier, rather than decoding the identifier. T…