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Financial institutions face increasing cyber risk while operating under strict regulatory oversight. To manage this risk, they rely heavily on Cyber Threat Intelligence (CTI) to inform detection, response, and strategic security decisions.…

Cryptography and Security · Computer Science 2026-03-25 Emir Karaosman , Advije Rizvani , Irdin Pekaric

Existing logic-locking attacks are known to successfully decrypt functionally correct key of a locked combinational circuit. It is possible to extend these attacks to real-world Silicon-based Intellectual Properties (IPs, which are…

Cryptography and Security · Computer Science 2021-02-18 Seetal Potluri , Aydin Aysu , Akash Kumar

Decentralized finance (DeFi) protocols are crypto projects developed on the blockchain to manage digital assets. Attacks on DeFi have been frequent and have resulted in losses exceeding $80 billion. Current tools detect and locate possible…

Cryptography and Security · Computer Science 2025-11-04 Xiaoqi Li , Wenkai Li , Zhiquan Liu , Yuqing Zhang , Yingjie Mao

Side-channel attacks pose serious threats to many security models, especially sandbox-based browsers. While transient-execution side channels in out-of-order processors have previously been blamed for vulnerabilities such as Spectre and…

Cryptography and Security · Computer Science 2022-12-08 Haocheng Xiao , Sam Ainsworth

Cyber Threat Intelligence (CTI) sharing is an important activity to reduce information asymmetries between attackers and defenders. However, this activity presents challenges due to the tension between data sharing and confidentiality, that…

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

As AI agents become increasingly autonomous and capable, ensuring their security against vulnerabilities such as prompt injection becomes critical. This paper explores the use of information-flow control (IFC) to provide security guarantees…

We present a novel approach for semantically targeted adversarial attacks on Optical Flow. In such attacks the goal is to corrupt the flow predictions of a specific object category or instance. Usually, an attacker seeks to hide the…

Computer Vision and Pattern Recognition · Computer Science 2021-11-17 Tom Koren , Lior Talker , Michael Dinerstein , Roy J Jevnisek

The transient execution attack is a type of attack leveraging the vulnerability of modern CPU optimization technologies. New attacks surface rapidly. The side-channel is a key part of transient execution attacks to leak data. In this work,…

Cryptography and Security · Computer Science 2023-04-24 Yu Jin , Pengfei Qiu , Chunlu Wang , Yihao Yang , Dongsheng Wang , Gang Qu

Data-oriented attacks manipulate non-control data to alter a program's benign behavior without violating its control-flow integrity. It has been shown that such attacks can cause significant damage even in the presence of control-flow…

Cryptography and Security · Computer Science 2019-03-26 Long Cheng , Hans Liljestrand , Thomas Nyman , Yu Tsung Lee , Danfeng Yao , Trent Jaeger , N. Asokan

As modern hardware designs grow in complexity and size, ensuring security across the confidentiality, integrity, and availability (CIA) triad becomes increasingly challenging. Information flow tracking (IFT) is a widely-used approach to…

Cryptography and Security · Computer Science 2025-04-10 Nowfel Mashnoor , Mohammad Akyash , Hadi Kamali , Kimia Azar

Control-flow hijacking attacks manipulate orchestration mechanisms in multi-agent systems into performing unsafe actions that compromise the system and exfiltrate sensitive information. Recently proposed defenses, such as LlamaFirewall,…

Machine Learning · Computer Science 2026-03-06 Rishi Jha , Harold Triedman , Justin Wagle , Vitaly Shmatikov

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

A new class of vulnerabilities related to speculative and out-of-order execution, fault-injection, and microarchitectural side channels rose to attention in 2018. The techniques behind the transient execution vulnerabilities were not new,…

Cryptography and Security · Computer Science 2023-09-08 Allison Randal

The rise of serverless computing provides an opportunity to rethink cloud security. We present an approach for securing serverless systems using a novel form of dynamic information flow control (IFC). We show that in serverless…

Programming Languages · Computer Science 2018-02-27 Kalev Alpernas , Cormac Flanagan , Sadjad Fouladi , Leonid Ryzhyk , Mooly Sagiv , Thomas Schmitz , Keith Winstein

Noninterference guarantees that an attacker cannot infer secrets by interacting with a program. Information flow control (IFC) type systems assert noninterference by tracking the level of information learned (pc) and disallowing…

Programming Languages · Computer Science 2024-07-31 Farzaneh Derakhshan , Stephanie Balzer , Yue Yao

The disastrous vulnerabilities in smart contracts sharply remind us of our ignorance: we do not know how to write code that is secure in composition with malicious code. Information flow control has long been proposed as a way to achieve…

Cryptography and Security · Computer Science 2023-07-21 Ethan Cecchetti , Siqiu Yao , Haobin Ni , Andrew C. Myers

Transformer-based malware detection systems operating on graph modalities such as control flow graphs (CFGs) achieve strong performance by modeling structural relationships in program behavior. However, their robustness to adversarial…

Cryptography and Security · Computer Science 2026-04-07 Andrew Wheeler , Kshitiz Aryal , Maanak Gupta

Fault injection is a key technique for assessing software reliability, enabling proactive detection of system defects before they manifest in production. However, the increasing complexity of microservice architectures leads to exponential…

Software Engineering · Computer Science 2026-01-22 Yuzhen Tan , Jian Wang , Shuaiyu Xie , Bing Li , Yunqing Yong , Neng Zhang , Shaolin Tan

Today, Deep Learning (DL) enhances almost every industrial sector, including safety-critical areas. The next generation of safety standards will define appropriate verification techniques for DL-based applications and propose adequate fault…

Machine Learning · Computer Science 2020-12-15 Michael Beyer , Andrey Morozov , Emil Valiev , Christoph Schorn , Lydia Gauerhof , Kai Ding , Klaus Janschek
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