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Just-in-time return-oriented programming (JIT-ROP) is a powerful memory corruption attack that bypasses various forms of code randomization. Execute-only memory (XOM) can potentially prevent these attacks, but requires source code. In…

Cryptography and Security · Computer Science 2020-07-08 Jannik Pewny , Philipp Koppe , Lucas Davi , Thorsten Holz

A one-time program (OTP) works as follows: Alice provides Bob with the implementation of some function. Bob can have the function evaluated exclusively on a single input of his choosing. Once executed, the program will fail to evaluate on…

Cryptography and Security · Computer Science 2019-07-02 Lianying Zhao , Joseph I. Choi , Didem Demirag , Kevin R. B. Butler , Mohammad Mannan , Erman Ayday , Jeremy Clark

In real-time embedded systems (RTS), failures due to security breaches can cause serious damage to the system, the environment and/or injury to humans. Therefore, it is very important to understand the potential threats and attacks against…

Cryptography and Security · Computer Science 2017-05-09 Chien-Ying Chen , AmirEmad Ghassami , Sibin Mohan , Negar Kiyavash , Rakesh B. Bobba , Rodolfo Pellizzoni , Man-Ki Yoon

Memory errors continue to be a critical concern for programs written in low-level programming languages such as C and C++. Many different memory error defenses have been proposed, each with varying trade-offs in terms of overhead,…

Cryptography and Security · Computer Science 2025-05-27 Sai Dhawal Phaye , Gregory J. Duck , Roland H. C. Yap , Trevor E. Carlson

To explore the vulnerability of deep neural networks (DNNs), many attack paradigms have been well studied, such as the poisoning-based backdoor attack in the training stage and the adversarial attack in the inference stage. In this paper,…

Machine Learning · Computer Science 2021-02-23 Jiawang Bai , Baoyuan Wu , Yong Zhang , Yiming Li , Zhifeng Li , Shu-Tao Xia

Deep learning models are known to be vulnerable to adversarial attacks by injecting sophisticated designed perturbations to input data. Training-time defenses still exhibit a significant performance gap between natural accuracy and robust…

Machine Learning · Computer Science 2025-05-20 Cheng-Han Yeh , Kuanchun Yu , Chun-Shien Lu

The development of the back-propagation algorithm represents a landmark in neural networks. We provide an approach that conducts the back-propagation again to reverse the traditional back-propagation process to optimize the input loss at…

Machine Learning · Computer Science 2022-02-15 Weiming Xiong , Ruoyu Yang

The implementations of most hardened cryptographic libraries use defensive programming techniques for side-channel resistance. These techniques are usually specified as guidelines to developers on specific code patterns to use or avoid.…

Cryptography and Security · Computer Science 2025-09-03 Moritz Schneider , Daniele Lain , Ivan Puddu , Nicolas Dutly , Srdjan Capkun

Recently, code reuse attacks (CRAs), such as return-oriented programming (ROP) and jump-oriented programming (JOP), have emerged as a new class of ingenious security threatens. Attackers can utilize CRAs to hijack the control flow of…

Cryptography and Security · Computer Science 2018-09-20 Jiliang Zhang , Binhang Qi , Gang Qu

Error-correcting codes are usually envisioned to counter errors by operating unitary corrections depending on the projective measurement results of some syndrome observables. We here propose a way to use them in a more integrated way, where…

Quantum Physics · Physics 2020-10-07 Vincent Martin , Alain Sarlette

Machine learning algorithms are used to construct a mathematical model for a system based on training data. Such a model is capable of making highly accurate predictions without being explicitly programmed to do so. These techniques have a…

Cryptography and Security · Computer Science 2022-02-22 Cato Pauling , Michael Gimson , Muhammed Qaid , Ahmad Kida , Basel Halak

Offensive Robot Cybersecurity introduces a groundbreaking approach by advocating for offensive security methods empowered by means of automation. It emphasizes the necessity of understanding attackers' tactics and identifying…

Robotics · Computer Science 2025-06-19 Víctor Mayoral-Vilches

Recent works have demonstrated the feasibility of inverting face recognition systems, enabling to recover convincing face images using only their embeddings. We leverage such template inversion models to develop a novel type ofdeep morphing…

Computer Vision and Pattern Recognition · Computer Science 2024-10-23 Laurent Colbois , Hatef Otroshi Shahreza , Sébastien Marcel

Modern society is getting accustomed to the Internet of Things (IoT) and Cyber-Physical Systems (CPS) for a variety of applications that involves security-critical user data and information transfers. In the lower end of the spectrum, these…

Cryptography and Security · Computer Science 2023-05-08 Avani Dave Nilanjan Banerjee Chintan Patel

The Rotary Position Embedding (RoPE) mechanism has become a powerful enhancement to the Transformer architecture, which enables models to capture token relationships when encoding positional information. However, the RoPE mechanisms make…

Machine Learning · Computer Science 2026-01-27 Yang Cao , Jiayan Huo , Yingyu Liang , Zhenmei Shi , Zhao Song

Honeypots, i.e. networked computer systems specially designed and crafted to mimic the normal operations of other systems while capturing and storing information about the interactions with the world outside, are a crucial technology into…

Cryptography and Security · Computer Science 2025-04-18 Michele Bombardieri , Salvatore Castanò , Fabrizio Curcio , Angelo Furfaro , Helen D. Karatza

Software diversity protects against a modern-day exploits such as code-reuse attacks. When an attacker designs a code-reuse attack on an example executable, it relies on replicating the target environment. With software diversity, the…

Programming Languages · Computer Science 2013-12-16 Michael Stewart

The main deficiency of the algorithms running on digital computers nowadays is their inability to change themselves during the execution. In line with this, the paper introduces the so-called replicated algorithms, inspired by the concept…

Neural and Evolutionary Computing · Computer Science 2023-04-27 Iztok Fister , Iztok Fister

Throughout the history of functional programming, recursion has emerged as a natural method for describing loops in programs. However, there does often exist a substantial cognitive distance between the recursive definition and the simplest…

Programming Languages · Computer Science 2020-02-17 Satoshi Egi , Yuichi Nishiwaki

Advances in reverse engineering make it challenging to deploy any on-chip information in a way that is hidden from a determined attacker. A variety of techniques have been proposed for design obfuscation including look-alike cells in which…

Cryptography and Security · Computer Science 2017-10-26 Shahrzad Keshavarz , Daniel Holcomb