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We present uSpectre, a new class of transient execution attacks that exploit microcode branch mispredictions to transiently leak sensitive data. We find that many long-known and recently-discovered transient execution attacks, which were…

Cryptography and Security · Computer Science 2025-01-23 Nicholas Mosier , Hamed Nemati , John C. Mitchell , Caroline Trippel

In the recent past, we have witnessed the shift towards attacks on the microarchitectural CPU level. In particular, cache side-channels play a predominant role as they allow an attacker to exfiltrate secret information by exploiting the CPU…

Cryptography and Security · Computer Science 2022-08-19 Jan Philipp Thoma , Christian Niesler , Dominic Funke , Gregor Leander , Pierre Mayr , Nils Pohl , Lucas Davi , Tim Güneysu

Logic locking aims to prevent intellectual property (IP) piracy and unauthorized overproduction of integrated circuits (ICs). However, initial logic locking techniques were vulnerable to the Boolean satisfiability (SAT)-based attacks. In…

Cryptography and Security · Computer Science 2021-11-16 Lilas Alrahis , Satwik Patnaik , Muhammad Abdullah Hanif , Muhammad Shafique , Ozgur Sinanoglu

Side-channel attacks are a security exploit that take advantage of information leakage. They use measurement and analysis of physical parameters to reverse engineer and extract secrets from a system. Power analysis attacks in particular,…

Cryptography and Security · Computer Science 2021-07-26 Yun Chen , Ali Hajiabadi , Romain Poussier , Andreas Diavastos , Shivam Bhasin , Trevor E. Carlson

In this work, we identify a set of side-channels in our Confidential Federated Compute platform that a hypothetical insider could exploit to circumvent differential privacy (DP) guarantees. We show how DP can mitigate two of the…

Cryptography and Security · Computer Science 2026-03-24 James Bell-Clark , Albert Cheu , Adria Gascon , Jonathan Katz

Network Function Virtualization (NFV) promises the benefits of reduced infrastructure, personnel, and management costs by outsourcing network middleboxes to the public or private cloud. Unfortunately, running network functions in the cloud…

Networking and Internet Architecture · Computer Science 2018-02-05 Dmitrii Kuvaiskii , Somnath Chakrabarti , Mona Vij

Large Language Models (LLMs) that can be deployed locally have recently gained popularity for privacy-sensitive tasks, with companies such as Meta, Google, and Intel playing significant roles in their development. However, the security of…

Cryptography and Security · Computer Science 2025-06-17 Zibo Gao , Junjie Hu , Feng Guo , Yixin Zhang , Yinglong Han , Siyuan Liu , Haiyang Li , Zhiqiang Lv

Insider threat detection presents unique challenges due to the authorized status of malicious actors and the subtlety of anomalous behaviors. Existing machine learning methods often treat user activity as isolated events, thereby failing to…

Machine Learning · Computer Science 2025-07-11 Mohamed Elbasheer , Adewale Akinfaderin

In recent years, enterprises have been targeted by advanced adversaries who leverage creative ways to infiltrate their systems and move laterally to gain access to critical data. One increasingly common evasive method is to hide the…

Cryptography and Security · Computer Science 2021-12-01 Talha Ongun , Jack W. Stokes , Jonathan Bar Or , Ke Tian , Farid Tajaddodianfar , Joshua Neil , Christian Seifert , Alina Oprea , John C. Platt

The Transmission Control Protocol (TCP) is one of the most important protocols in today's Internet. Its specification and implementations have been refined for almost forty years. The Linux TCP stack is one of the most widely used TCP…

Networking and Internet Architecture · Computer Science 2019-05-23 Viet-Hoang Tran , Olivier Bonaventure

Deep neural networks (DNNs) are vulnerable to backdoor attacks, where adversaries embed a hidden backdoor trigger during the training process for malicious prediction manipulation. These attacks pose great threats to the applications of…

Cryptography and Security · Computer Science 2023-02-21 Junfeng Guo , Yiming Li , Xun Chen , Hanqing Guo , Lichao Sun , Cong Liu

Confidential virtual machines (CVMs) based on trusted execution environments (TEEs) enable new privacy-preserving solutions. Yet, they leave side-channel leakage outside their threat model, shifting the responsibility of mitigating such…

Cryptography and Security · Computer Science 2025-12-15 Ruiyi Zhang , Albert Cheu , Adria Gascon , Daniel Moghimi , Phillipp Schoppmann , Michael Schwarz , Octavian Suciu

Semi-supervised learning (SSL) has achieved remarkable performance with a small fraction of labeled data by leveraging vast amounts of unlabeled data from the Internet. However, this large pool of untrusted data is extremely vulnerable to…

Computer Vision and Pattern Recognition · Computer Science 2024-12-05 Cheng-Yi Lee , Ching-Chia Kao , Cheng-Han Yeh , Chun-Shien Lu , Chia-Mu Yu , Chu-Song Chen

The emergence of various technologies has since pushed researchers to develop new protocols that support high density data transmissions in Wide Area Networks. Many of these protocols are TCP protocol variants, which have demonstrated…

Networking and Internet Architecture · Computer Science 2010-10-26 Danilo Valeros Bernardo , Doan B Hoang

AI agents increasingly run untrusted code on developer machines: shell commands generated by language models, third-party scripts retrieved at runtime, and tool plugins of unknown provenance. Existing isolation mechanisms impose tradeoffs…

Cryptography and Security · Computer Science 2026-05-27 Cong Wang , Yusheng Zheng

Adversarial input detection has emerged as a prominent technique to harden Deep Neural Networks(DNNs) against adversarial attacks. Most prior works use neural network-based detectors or complex statistical analysis for adversarial…

Cryptography and Security · Computer Science 2021-10-11 Abhishek Moitra , Priyadarshini Panda

Windows OS is facing a huge rise in kernel attacks. An overview of popular techniques that result in loading kernel drivers will be presented. One of the key targets of modern threats is disabling and blinding Microsoft Defender, a default…

Cryptography and Security · Computer Science 2022-10-07 Denis Pogonin , Igor Korkin

The purpose of this project is to assess how well defenders can detect DNS-over-HTTPS (DoH) file exfiltration, and which evasion strategies can be used by attackers. While providing a reproducible toolkit to generate, intercept and analyze…

Cryptography and Security · Computer Science 2025-12-24 Adam Elaoumari

This paper proposes a method to completely hide the functionality of a digital standard cell. This is accomplished by a differential threshold logic gate (TLG). A TLG with $n$ inputs implements a subset of Boolean functions of $n$ variables…

Cryptography and Security · Computer Science 2016-03-25 Joseph Davis , Niranjan Kulkarni , Jinghua Yang , Aykut Dengi , Sarma Vrudhula

GPUs are increasingly being used in security applications, especially for accelerating encryption/decryption. While GPUs are an attractive platform in terms of performance, the security of these devices raises a number of concerns. One…

Cryptography and Security · Computer Science 2020-08-03 Elmira Karimi , Yunsi Fei , David Kaeli