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We present a continuous variable (CV) quantum key distribution (QKD) scheme based on the CV quantum teleportation of coherent states that yields a raw secret key made up of discrete variables for both Alice and Bob. This protocol preserves…

Quantum Physics · Physics 2017-01-31 F. S. Luiz , Gustavo Rigolin

Recent work has established that when transmitter Alice wishes to communicate reliably to recipient Bob without detection by warden Willie, with additive white Gaussian noise (AWGN) channels between all parties, communication is limited to…

Information Theory · Computer Science 2017-06-27 Tamara V. Sobers , Boulat A. Bash , Saikat Guha , Don Towsley , Dennis Goeckel

Systems near to quantum critical points show universal scaling in their response functions. We consider whether this scaling is reflected in their fluctuations; namely in current-noise. Naive scaling predicts low-temperature Johnson noise…

Strongly Correlated Electrons · Physics 2009-11-11 A. G. Green , J. E. Moore , S. L. Sondhi , A. Vishwanath

In this work, we consider a covert communication scenario, where a transmitter Alice communicates to a receiver Bob with the aid of a probabilistic and uninformed jammer against an adversary warden's detection. The transmission status and…

Signal Processing · Electrical Eng. & Systems 2023-08-30 Xun Chen , Fujun Gao , Min Qiu , Jia Zhang , Feng Shu , Shihao Yan

We report an observation of charge conservation breaking in a model study of electronic current noise of transport through a dissipative double quantum dot within generalized master equation formalism. We study the current noise through a…

Mesoscale and Nanoscale Physics · Physics 2012-12-05 Jan Prachar , Tomas Novotny

Covert communication, also known as low probability of detection (LPD) communication, prevents the adversary from knowing that a communication is taking place. Recent work has demonstrated that, in a three-party scenario with a transmitter…

Information Theory · Computer Science 2017-11-29 Ramin Soltani , Boulat Bash , Dennis Goeckel , Saikat Guha , Don Towsley

Deep Neural Networks have been widely used in many fields. However, studies have shown that DNNs are easily attacked by adversarial examples, which have tiny perturbations and greatly mislead the correct judgment of DNNs. Furthermore, even…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Shaowei Zhu , Wanli Lyu , Bin Li , Zhaoxia Yin , Bin Luo

Transition-edge sensor (TES) bolometers operate under strong electrothermal feedback, wherein power deposited on the bolometer is compensated by a corresponding change in electrical power dissipation. We present a comprehensive analysis of…

Instrumentation and Methods for Astrophysics · Physics 2025-09-03 Tijmen de Haan

Future power networks will be characterized by safe and reliable functionality against physical malfunctions and cyber attacks. This paper proposes a unified framework and advanced monitoring procedures to detect and identify network…

Optimization and Control · Mathematics 2011-03-16 Fabio Pasqualetti , Florian Dörfler , Francesco Bullo

Device independent quantum key distribution aims to provide a higher degree of security than traditional QKD schemes by reducing the number of assumptions that need to be made about the physical devices used. The previous proof of security…

Quantum Physics · Physics 2009-10-26 Matthew McKague

We consider a wiretap channel with an eavesdropper (Eve) and an honest but curious relay (Ray). Ray and the destination (Bob) are full-duplex (FD) devices. Since we aim at not revealing information on the secret message to the relay, we…

Information Theory · Computer Science 2016-06-15 Stefano Tomasin

We present a novel attack against the Combined Charging System, one of the most widely used DC rapid charging technologies for electric vehicles (EVs). Our attack, Brokenwire, interrupts necessary control communication between the vehicle…

Cryptography and Security · Computer Science 2024-03-27 Sebastian Köhler , Richard Baker , Martin Strohmeier , Ivan Martinovic

Recently, a novel direct counterfactual quantum communication protocol was proposed using chained quantum Zeno effect. We found that this protocol is far from being widely used in practical channels, due to the side effect of 'chained',…

Quantum Physics · Physics 2015-05-06 Sheng Zhang , Bo Zhang , Xing-tong Liu

Effective defense of deep neural networks against adversarial attacks remains a challenging problem, especially under powerful white-box attacks. In this paper, we develop a new method called ensemble generative cleaning with feedback loops…

Computer Vision and Pattern Recognition · Computer Science 2020-04-24 Jianhe Yuan , Zhihai He

We develop investment approaches to secure electric power systems against load attacks where a malicious intruder (the attacker) covertly changes reactive power setpoints of loads to push the grid towards voltage instability while the…

Systems and Control · Electrical Eng. & Systems 2023-09-06 Lu An , Pratishtha Shukla , Aranya Chakrabortty , Alexandra Duel-Hallen

The Polynomial Learning With Errors problem (PLWE) serves as the background of two of the three cryptosystems standardized in August 2024 by the National Institute of Standards and Technology to replace non-quantum resistant current…

Cryptography and Security · Computer Science 2025-07-01 Iván Blanco Chacón , Raúl Durán Díaz , Rodrigo Martín Sánchez-Ledesma

Backdoor attack intends to embed hidden backdoor into deep neural networks (DNNs), such that the attacked model performs well on benign samples, whereas its prediction will be maliciously changed if the hidden backdoor is activated by the…

Cryptography and Security · Computer Science 2022-04-13 Shaik Mohammed Maqsood , Viveros Manuela Ceron , Addluri GowthamKrishna

Quantum cryptographic protocols are typically analysed by assuming that potential opponents can carry out all physical operations, an assumption which grants capabilities far in excess of present technology. Adjusting this assumption to…

Quantum Physics · Physics 2019-05-27 Nedasadat Hosseinidehaj , Nathan Walk , Timothy C. Ralph

Security bounds for key distribution protocols using coherent and squeezed states and homodyne measurements are presented. These bounds refer to (i) general attacks and (ii) collective attacks where Eve interacts individually with the sent…

Quantum Physics · Physics 2009-11-10 Miguel Navascues , Antonio Acin

Deep neural networks (DNNs) are vulnerable to backdoor attack, which does not affect the network's performance on clean data but would manipulate the network behavior once a trigger pattern is added. Existing defense methods have greatly…

Machine Learning · Computer Science 2025-04-08 Min Liu , Alberto Sangiovanni-Vincentelli , Xiangyu Yue
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