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Building management systems tout numerous benefits, such as energy efficiency and occupant comfort but rely on vast amounts of data from various sensors. Advancements in machine learning algorithms make it possible to extract personal…

Human-Computer Interaction · Computer Science 2023-03-14 Beatrice Li , Arash Tavakoli , Arsalan Heydarian

The virtual dimension called `Cyberspace' built on internet technologies has served people's daily lives for decades. Now it offers advanced services and connected experiences with the developing pervasive computing technologies that…

Cryptography and Security · Computer Science 2022-02-10 Yinhao Jiang , Ba Dung Le , Tanveer Zia , Praveen Gauravaram

With the development and introduction of smart metering, the energy information for costumers will change from infrequent manual meter readings to fine-grained energy consumption data. On the one hand these fine-grained measurements will…

Other Computer Science · Computer Science 2018-07-03 Dominik Egarter , Christoph Prokop , Wilfried Elmenreich

User profiling, the practice of collecting user information for personalized recommendations, has become widespread, driving progress in technology. However, this growth poses a threat to user privacy, as devices often collect sensitive…

Information Retrieval · Computer Science 2025-04-11 Rishika Kohli , Shaifu Gupta , Manoj Singh Gaur

In the era of Internet of Things (IoT) technologies the potential for privacy invasion is becoming a major concern especially in regards to healthcare data and Ambient Assisted Living (AAL) environments. Systems that offer AAL technologies…

Signal Processing · Electrical Eng. & Systems 2018-02-27 Ismini Psychoula , Erinc Merdivan , Deepika Singh , Liming Chen , Feng Chen , Sten Hanke , Johannes Kropf , Andreas Holzinger , Matthieu Geist

Large language models (LLMs) are sophisticated artificial intelligence systems that enable machines to generate human-like text with remarkable precision. While LLMs offer significant technological progress, their development using vast…

Cryptography and Security · Computer Science 2025-06-23 Yashothara Shanmugarasa , Ming Ding , M. A. P Chamikara , Thierry Rakotoarivelo

Retrieval-augmented generation (RAG) is a powerful technique to facilitate language model with proprietary and private data, where data privacy is a pivotal concern. Whereas extensive research has demonstrated the privacy risks of large…

Cryptography and Security · Computer Science 2024-03-03 Shenglai Zeng , Jiankun Zhang , Pengfei He , Yue Xing , Yiding Liu , Han Xu , Jie Ren , Shuaiqiang Wang , Dawei Yin , Yi Chang , Jiliang Tang

The proliferation of smart home Internet of Things (IoT) devices presents unprecedented challenges for preserving privacy within the home. In this paper, we demonstrate that a passive network observer (e.g., an Internet service provider)…

Cryptography and Security · Computer Science 2020-07-28 Noah Apthorpe , Danny Yuxing Huang , Dillon Reisman , Arvind Narayanan , Nick Feamster

The increasing popularity of specialized Internet-connected devices and appliances, dubbed the Internet-of-Things (IoT), promises both new conveniences and new privacy concerns. Unlike traditional web browsers, many IoT devices have…

Cryptography and Security · Computer Science 2017-05-22 Noah Apthorpe , Dillon Reisman , Nick Feamster

With smartphone technologies enhanced way of interacting with the world around us, it has also been paving the way for easier access to our private and personal information. This has been amplified by the existence of numerous embedded…

Cryptography and Security · Computer Science 2020-07-10 Tanusree Sharma , Masooda Bashir

As smart meters continue to be deployed around the world collecting unprecedented levels of fine-grained data about consumers, we need to find mechanisms that are fair to both, (1) the electric utility who needs the data to improve their…

Optimization and Control · Mathematics 2014-11-18 Lillian J. Ratliff , Carlos Barreto , Roy Dong , Henrik Ohlsson , Alvaro Cardenas , S. Shankar Sastry

Large Language Models (LLMs) have achieved remarkable progress in natural language understanding, reasoning, and autonomous decision-making. However, these advancements have also come with significant privacy concerns. While significant…

Cryptography and Security · Computer Science 2026-01-27 Yuntao Du , Zitao Li , Ninghui Li , Bolin Ding

The widespread availability of large-scale code datasets has fueled the rapid development of large language models (LLMs) for code-related tasks. These datasets may include sensitive personally identifiable information (PII), which can lead…

Software Engineering · Computer Science 2026-05-18 Yifei Ge , Zhenpeng Chen , Weisong Sun , Yuchen Chen , Chunrong Fang , Juan Zhai , Xiaofang Zhang , Xia Feng , Yang Liu , Zhenyu Chen

With the development of Internet technology, the issue of privacy leakage has attracted more and more attention from the public. In our daily life, mobile phone applications and identity documents that we use may bring the risk of privacy…

General Economics · Economics 2022-11-28 Zhiheng Yi , Xiaoli Chen

Virtual reality (VR) platforms and apps collect user sensor data, including motion, facial, eye, and hand data, in abstracted form. These data may expose users to unique privacy risks without their knowledge or meaningful awareness, yet the…

Cryptography and Security · Computer Science 2026-01-21 Ismat Jarin , Olivia Figueira , Yu Duan , Tu Le , Athina Markopoulou

The proliferation of Internet of Things (IoT) devices for consumer "smart" homes raises concerns about user privacy. We present a survey method based on the Contextual Integrity (CI) privacy framework that can quickly and efficiently…

Computers and Society · Computer Science 2018-05-17 Noah Apthorpe , Yan Shvartzshnaider , Arunesh Mathur , Dillon Reisman , Nick Feamster

Language models (LMs) rely on their parametric knowledge augmented with relevant contextual knowledge for certain tasks, such as question answering. However, the contextual knowledge can contain private information that may be leaked when…

Computation and Language · Computer Science 2025-12-17 James Flemings , Bo Jiang , Wanrong Zhang , Zafar Takhirov , Murali Annavaram

Consumer Internet of Things (IoT) devices are increasingly common, from smart speakers to security cameras, in homes. Along with their benefits come potential privacy and security threats. To limit these threats a number of commercial…

Cryptography and Security · Computer Science 2023-04-07 Anna Maria Mandalari , Hamed Haddadi , Daniel J. Dubois , David Choffnes

Doubtlessly, the immersive technologies have potential to ease people's life and uplift economy, however the obvious data privacy risks cannot be ignored. For example, a participant wears a 3D headset device which detects participant's head…

Cryptography and Security · Computer Science 2025-05-08 Keshav Sood , Iynkaran Natgunanathan , Uthayasanker Thayasivam , Vithurabiman Senthuran , Xiaoning Zhang , Shui Yu

More and more conventional electromechanical meters are being replaced with smart meters because of their substantial benefits such as providing faster bi-directional communication between utility services and end users, enabling direct…

Machine Learning · Computer Science 2020-10-27 ibrahim Yilmaz , Ambareen Siraj
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