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We present a distributed average consensus protocol that preserves the privacy of agents' inputs. Unlike the differential privacy mechanisms, the presented protocol does not affect the accuracy of the output. It is shown that the protocol…

Systems and Control · Computer Science 2020-04-14 Nirupam Gupta , Jonathan Katz , Nikhil Chopra

As language models are increasingly deployed as autonomous agents in high-stakes settings, ensuring that they reliably follow user-defined rules has become a critical safety concern. To this end, we study whether language models exhibit…

Machine Learning · Computer Science 2025-08-28 Dylan Sam , Alexander Robey , Andy Zou , Matt Fredrikson , J. Zico Kolter

In this paper, we consider the use of artificial noise for secure communications. We propose the notion of practical secrecy as a new design criterion based on the behavior of the eavesdropper's error probability $P_E$, as the…

Information Theory · Computer Science 2013-06-06 Shuiyin Liu , Yi Hong , Emanuele Viterbo

We consider the communication scenario where a source-destination pair wishes to keep the information secret from a relay node despite wanting to enlist its help. For this scenario, an interesting question is whether the relay node should…

Information Theory · Computer Science 2016-11-15 Xiang He , Aylin Yener

Existing question-answering research focuses on unanswerable questions in the context of always providing an answer when a system can\dots but what about cases where a system {\bf should not} answer a question. This can either be to protect…

Computation and Language · Computer Science 2023-03-17 Nathaniel W. Rollings , Kent O'Sullivan , Sakshum Kulshrestha

Implicit authentication consists of a server authenticating a user based on the user's usage profile, instead of/in addition to relying on something the user explicitly knows (passwords, private keys, etc.). While implicit authentication…

Cryptography and Security · Computer Science 2015-03-03 Josep Domingo-Ferrer , Qianhong Wu , Alberto Blanco-Justicia

This paper develops a framework to study the statistical power of revealed-preference tests. With randomly sampled budgets and mild smoothness of demand, statistical learning implies that any model consistent with the data must approximate…

Theoretical Economics · Economics 2026-02-12 Charles Gauthier , Raghav Malhotra , Agustin Troccoli Moretti

As reliance on space systems continues to increase, so does the need to ensure security for them. However, public work in space standards have struggled with defining security protocols that are well tailored to the domain and its risks. In…

Cryptography and Security · Computer Science 2025-03-11 Benjamin Dowling , Britta Hale , Xisen Tian , Bhagya Wimalasiri

In this paper, we investigate function computation problems under different secure conditions over a network with multiple source nodes and a single sink node which desires a function of all source messages without error. A wiretapper has…

Information Theory · Computer Science 2022-06-14 Min Xu , Gennian Ge , Minqian Liu

We study the problem of secure message multicasting over graphs in the presence of a passive (node) adversary who tries to eavesdrop in the network. We show that use of feedback, facilitated through the existence of cycles or undirected…

Information Theory · Computer Science 2013-05-29 Shaunak Mishra , Christina Fragouli , Vinod Prabhakaran , Suhas Diggavi

The rapid advancement of large language models (LLMs) has revolutionized natural language processing, enabling applications in diverse domains such as healthcare, finance and education. However, the growing reliance on extensive data for…

Cryptography and Security · Computer Science 2024-12-10 Guoshenghui Zhao , Eric Song

Test suites assess natural language processing models' performance on specific functionalities: cases of interest involving model robustness, fairness, or particular linguistic capabilities. This paper introduces specification instructions:…

Computation and Language · Computer Science 2024-11-19 Pedro Henrique Luz de Araujo , Benjamin Roth

Statistical privacy views privacy definitions as contracts that guide the behavior of algorithms that take in sensitive data and produce sanitized data. For most existing privacy definitions, it is not clear what they actually guarantee. In…

Databases · Computer Science 2012-08-28 Bing-Rong Lin , Daniel Kifer

Protocol specifications often identify the roles involved in communications. In multiparty protocols that involve task delegation it is often useful to consider settings in which different sites may act on behalf of a single role. It is…

Logic in Computer Science · Computer Science 2014-08-27 Silvia Ghilezan , Svetlana Jakšić , Jovanka Pantović , Jorge A. Pérez , Hugo Torres Vieira

This paper explores a new secure wireless communication paradigm where the physical layer security technology is applied to counteract both the detection and eavesdropping attacks, such that the critical covertness and secrecy properties of…

Information Theory · Computer Science 2021-03-11 Huihui Wu , Yuanyu Zhang , Yulong Shen , Xiaohong Jiang

Correctness is an emergent property of systems where exposing error is cheaper than committing it. In dynamic, low-trust environments, autonomous AI agents benefit from delegating work to sub-agents, yet correctness cannot be assured…

Computer Science and Game Theory · Computer Science 2025-12-03 David Shi , Kevin Joo

The advent of large-scale, complex computing systems has dramatically increased the difficulties of securing accesses to systems' resources. To ensure confidentiality and integrity, the exploitation of access control mechanisms has thus…

Software Engineering · Computer Science 2015-08-18 Andrea Margheri , Rosario Pugliese , Francesco Tiezzi

I study a model of information acquisition and transmission in which the sender's ability to misreport her findings is limited. The sender learns covertly, so a key observation is that in equilibrium she must be deterred from undetectably…

Theoretical Economics · Economics 2025-10-28 Matteo Escudé

A privately-informed sender can commit to any disclosure policy towards a receiver. We show that full disclosure is optimal under a sufficient condition with some desirable properties. First, it speaks directly to the utility functions of…

Theoretical Economics · Economics 2023-02-15 Emiliano Catonini , Sergey Stepanov

Differentially private noise mechanisms commonly use symmetric noise distributions. This is attractive both for achieving the differential privacy definition, and for unbiased expectations in the noised answers. However, there are contexts…

Cryptography and Security · Computer Science 2021-10-18 Benjamin M. Case , James Honaker , Mahnush Movahedi
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