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We formulate a model for intermittent communication that can capture bursty transmissions or a sporadically available channel, where in either case the receiver does not know a priori when the transmissions will occur. Focusing on the…

Information Theory · Computer Science 2017-03-20 Mostafa Khoshnevisan , J Nicholas Laneman

This paper is concerned with the general multiple access wiretap channel and the existence of codes that accomplish reliability and strong secrecy. Information leakage to the eavesdropper is assessed by the variational distance metric,…

Information Theory · Computer Science 2020-03-10 Manos Athanasakos , Nicholas Kalouptsidis

This paper studies the capacity of the multi-antenna or multiple-input multiple-output (MIMO) secrecy channels with multiple eavesdroppers having single/multiple antennas. It is known that the MIMO secrecy capacity is achievable with the…

Information Theory · Computer Science 2009-02-02 Lan Zhang , Rui Zhang , Ying-Chang Liang , Yan Xin , Shuguang Cui

We study a lossy source coding problem with secrecy constraints in which a remote information source should be transmitted to a single destination via multiple agents in the presence of a passive eavesdropper. The agents observe noisy…

Information Theory · Computer Science 2015-02-19 Farshad Naghibi , Somayeh Salimi , Mikael Skoglund

We consider a dense n-user Gaussian interference network formed by paired transmitters and receivers placed independently at random in Euclidean space. Under natural conditions on the node position distributions and signal attenuation, we…

Information Theory · Computer Science 2010-10-21 Matthew Aldridge , Oliver Johnson , Robert Piechocki

The Information Bottleneck method is a learning technique that seeks a right balance between accuracy and generalization capability through a suitable tradeoff between compression complexity, measured by minimum description length, and…

Information Theory · Computer Science 2020-11-04 Mohammad Mahdi Mahvari , Mari Kobayashi , Abdellatif Zaidi

We design short blocklength codes for the Gaussian wiretap channel under information-theoretic security guarantees. Our approach consists in decoupling the reliability and secrecy constraints in our code design. Specifically, we handle the…

Information Theory · Computer Science 2023-01-24 Vidhi Rana , Remi A. Chou

Key agreement is a fundamental cryptographic primitive. It has been proved that key agreement protocols with security against computationally unbounded adversaries cannot exist in a setting where Alice and Bob do not have dependent…

Cryptography and Security · Computer Science 2016-04-14 Reihaneh Safavi-Naini , Pengwei Wang

Eavesdropping attacks in inference systems aim to learn not the raw data, but the system inferences to predict and manipulate system actions. We argue that conventional information security measures can be ambiguous on the adversary's…

Information Theory · Computer Science 2017-05-09 Chi-Yo Tsai , Gaurav Kumar Agarwal , Christina Fragouli , Suhas Diggavi

This paper presents an information theory based detection framework for covert channels. We first show that the usual notion of interference does not characterize the notion of deliberate information flow of covert channels. We then show…

Cryptography and Security · Computer Science 2011-03-01 Loïc Hélouët , Aline Roumy

In this paper, we study the degraded compound multi-receiver wiretap channel. The degraded compound multi-receiver wiretap channel consists of two groups of users and a group of eavesdroppers, where, if we pick an arbitrary user from each…

Information Theory · Computer Science 2009-10-19 Ersen Ekrem , Sennur Ulukus

Consider a pair of random variables $(X,Y)$ distributed according to a given joint distribution $p_{XY}$. A curator wishes to maximally disclose information about $Y$, while limiting the information leakage incurred on $X$. Adopting mutual…

Information Theory · Computer Science 2023-01-30 Borzoo Rassouli , Deniz Gündüz

The secrecy performance of a source-channel model is studied in the context of lossy source compression over a noisy broadcast channel. The source is causally revealed to the eavesdropper during decoding. The fidelity of the transmission to…

Information Theory · Computer Science 2015-06-24 Eva C. Song , Paul Cuff , H. Vincent Poor

The many-to-one interference channel has received interest by virtue of embodying the essence of an interference network while being more tractable than the general K-user interference channel. In this paper, we introduce information…

Information Theory · Computer Science 2015-03-17 Xiang He , Aylin Yener

A fundamental question that has been studied in cryptography and in information theory is whether two parties can communicate confidentially using exclusively an open channel. We consider the model in which the two parties hold inputs that…

Information Theory · Computer Science 2020-01-10 Marius Zimand

In order to model an efficient learning paradigm, iterative learning algorithms access data one by one, updating the current hypothesis without regress to past data. Past research on iterative learning analyzed for example many important…

Machine Learning · Computer Science 2021-04-29 Ardalan Khazraei , Timo Kötzing , Karen Seidel

The fading wire-tap channel is investigated, where the source-to-destination channel and the source-to-wire-tapper channel are corrupted by multiplicative fading gain coefficients in addition to additive Gaussian noise terms. The channel…

Information Theory · Computer Science 2007-08-22 Yingbin Liang , H. Vincent Poor

This work considers the secure and reliable information transmission in two-hop relay wireless networks without the information of both eavesdropper channels and locations. While the previous work on this problem mainly studied infinite…

Networking and Internet Architecture · Computer Science 2012-12-03 Yulong Shen , Xiaohong Jiang , Jianfeng Ma , Weisong Shi

This work considers the problem of mitigating information leakage between communication and sensing in systems jointly performing both operations. Specifically, a discrete memoryless state-dependent broadcast channel model is studied in…

Information Theory · Computer Science 2022-08-16 Onur Günlü , Matthieu Bloch , Rafael F. Schaefer , Aylin Yener

Edge-cloud collaborative inference empowers resource-limited IoT devices to support deep learning applications without disclosing their raw data to the cloud server, thus preserving privacy. Nevertheless, prior research has shown that…

Cryptography and Security · Computer Science 2023-06-16 Lin Duan , Jingwei Sun , Yiran Chen , Maria Gorlatova
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