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Cache side-channel attacks extract secrets by examining how victim software accesses cache. To date, practical attacks on cryptosystems and media libraries are demonstrated under different scenarios, inferring secret keys and reconstructing…

Cryptography and Security · Computer Science 2022-10-04 Yuanyuan Yuan , Zhibo Liu , Shuai Wang

he technology on infrared remote control is widely applied in human daily life. It is also applied in the place with a top security level. Infrared remote control signal is regarded as a simple, safe and clean resource that can help us…

Cryptography and Security · Computer Science 2019-05-21 Zheng Zhou , Weiming Zhang , Nenghai Yu

With the growing use of camera devices, the industry has many image datasets that provide more opportunities for collaboration between the machine learning community and industry. However, the sensitive information in the datasets…

Computer Vision and Pattern Recognition · Computer Science 2021-04-08 Jia-Wei Chen , Li-Ju Chen , Chia-Mu Yu , Chun-Shien Lu

Acoustic Side-Channel Attacks (ASCAs) extract sensitive information by using audio emitted from a computing devices and their peripherals. Attacks targeting keyboards are popular and have been explored in the literature. However, similar…

Cryptography and Security · Computer Science 2025-05-06 Mauro Conti , Marin Duroyon , Gabriele Orazi , Gene Tsudik

Logic Encryption is one of the most popular hardware security techniques which can prevent IP piracy and illegal IC overproduction. It introduces obfuscation by inserting some extra hardware into a design to hide its functionality from…

Cryptography and Security · Computer Science 2018-01-17 Rajit Karmakar , Santanu Chatopadhyay , Rohit Kapur

This study demonstrates a novel approach to facial camouflage that combines targeted cosmetic perturbations and alpha transparency layer manipulation to evade modern facial recognition systems. Unlike previous methods -- such as CV dazzle,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-19 David Noever , Forrest McKee

Adding perturbations to images can mislead classification models to produce incorrect results. Recently, researchers exploited adversarial perturbations to protect image privacy from retrieval by intelligent models. However, adding…

Computer Vision and Pattern Recognition · Computer Science 2023-01-03 Li Chen , Shaowei Zhu , Zhaoxia Yin

The prevalence of Closed Circuit Television (CCTV) in today's society has given rise to an inherent asymmetry of control between the watchers and the watched. A sense of unease relating to the unobservable observer (operator) often leads to…

Cryptography and Security · Computer Science 2020-04-21 Gerard Wilkinson , Dan Jackson , Andrew Garbett , Reuben Kirkham , Kyle Montague

Digital watermarking has shown its effectiveness in protecting multimedia content. However, existing watermarking is predominantly tailored for specific media types, rendering them less effective for the protection of content displayed on…

Computer Vision and Pattern Recognition · Computer Science 2024-12-18 Xiujian Liang , Gaozhi Liu , Yichao Si , Xiaoxiao Hu , Zhenxing Qian

The increased growth in the use of transmission of multimedia medical contents over unsecured and open networks provides insecurity for confidential patient information over these networks. Digital encryption of medical images before…

Cryptography and Security · Computer Science 2015-06-16 Quist-Aphetsi Kester

Computer vision techniques are on the rise for industrial applications, like process supervision and autonomous agents, e.g., in the healthcare domain and dangerous environments. While the general usability of these techniques is high,…

Computer Vision and Pattern Recognition · Computer Science 2024-05-22 Volker Knauthe , Paul Weitz , Thomas Pöllabauer , Tristan Wirth , Arne Rak , Arjan Kuijper , Dieter W. Fellner

Backdoor attack aims to deceive a victim model when facing backdoor instances while maintaining its performance on benign data. Current methods use manual patterns or special perturbations as triggers, while they often overlook the…

Computer Vision and Pattern Recognition · Computer Science 2024-01-05 Ruofei Wang , Renjie Wan , Zongyu Guo , Qing Guo , Rui Huang

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

Personal photos of individuals when shared online, apart from exhibiting a myriad of memorable details, also reveals a wide range of private information and potentially entails privacy risks (e.g., online harassment, tracking). To mitigate…

Computer Vision and Pattern Recognition · Computer Science 2021-06-02 Hui-Po Wang , Tribhuvanesh Orekondy , Mario Fritz

Recent years have seen a surge in the number of data leaks despite aggressive information-containment measures deployed by cloud providers. When attackers acquire sensitive data in a secure cloud environment, covert communication channels…

Cryptography and Security · Computer Science 2020-08-05 Dmitrii Ustiugov , Plamen Petrov , M. R. Siavash Katebzadeh , Boris Grot

Trusted execution environments (TEEs) offer hardware-assisted means to protect code and data. However, as shown in numerous results over the years, attackers can use side-channels to leak data access patterns and even single-step the code.…

Cryptography and Security · Computer Science 2025-09-24 Jan Wichelmann , Anja Rabich , Anna P"atschke , Thomas Eisenbarth

Recent research shows that colluded malware in different VMs sharing a single physical host may use a resource as a channel to leak critical information. Covert channels employ time or storage characteristics to transmit confidential…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-09 Mansaf Alam , Shuchi Sethi

Optical flow estimation is one of the fundamental tasks in low-level computer vision, which describes the pixel-wise displacement and can be used in many other tasks. From the apparent aspect, the optical flow can be viewed as the…

Computer Vision and Pattern Recognition · Computer Science 2024-05-22 Yuhao Cheng , Siru Zhang , Yiqiang Yan

In this work, we focus on the classical optical channel having Poissonian statistical behavior and propose a novel secrecy coding-based physical layer protocol. Our protocol is different but complementary to both (computationally secure)…

Cryptography and Security · Computer Science 2022-04-26 Masahito Hayashi , Angeles Vazquez-Castro

We propose an optical read-out scheme allowing a demonstration of principle of information extraction below the diffraction limit. This technique, which could lead to improvement in data read-out density onto optical discs, is independent…

Quantum Physics · Physics 2009-11-11 Vincent Delaubert , Nicolas Treps , Gao Bo , Claude Fabre
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