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Malware authors often employ code obfuscations to make their malware harder to detect. Existing tools for generating obfuscated code often require access to the original source code (e.g., C++ or Java), and adding new obfuscations is a…

Cryptography and Security · Computer Science 2025-01-30 Seyedreza Mohseni , Seyedali Mohammadi , Deepa Tilwani , Yash Saxena , Gerald Ketu Ndawula , Sriram Vema , Edward Raff , Manas Gaur

Gate camouflaging is a technique for obfuscating the function of a circuit against reverse engineering attacks. However, if an adversary has pre-existing knowledge about the set of functions that are viable for an application, random…

Cryptography and Security · Computer Science 2017-03-03 Shahrzad Keshavarz , Christof Paar , Daniel Holcomb

JavaScript obfuscators are widely deployed to protect intellectual property and resist reverse engineering, yet their correctness has been largely overlooked compared to performance and resilience. Existing evaluations typically measure…

Software Engineering · Computer Science 2026-03-03 Shan Jiang , Chenguang Zhu , Sarfraz Khurshid

Recent advances in learned video codecs have demonstrated remarkable compression efficiency. Two fundamental design aspects are critical: the choice of inter-frame coding framework and the temporal information propagation strategy.…

Image and Video Processing · Electrical Eng. & Systems 2025-10-20 Kuan-Wei Ho , Yi-Hsin Chen , Martin Benjak , Jörn Ostermann , Wen-Hsiao Peng

Hashing has been widely used for large-scale search due to its low storage cost and fast query speed. By using supervised information, supervised hashing can significantly outperform unsupervised hashing. Recently, discrete supervised…

Information Retrieval · Computer Science 2018-10-17 Qing-Yuan Jiang , Xue Cui , Wu-Jun Li

Similarity-preserving hashing is a widely-used method for nearest neighbour search in large-scale image retrieval tasks. For most existing hashing methods, an image is first encoded as a vector of hand-engineering visual features, followed…

Computer Vision and Pattern Recognition · Computer Science 2019-08-17 Hanjiang Lai , Yan Pan , Ye Liu , Shuicheng Yan

Neural network stealing attacks have posed grave threats to neural network model deployment. Such attacks can be launched by extracting neural architecture information, such as layer sequence and dimension parameters, through leaky…

Cryptography and Security · Computer Science 2022-03-10 Jingtao Li , Zhezhi He , Adnan Siraj Rakin , Deliang Fan , Chaitali Chakrabarti

Unsupervised binary representation allows fast data retrieval without any annotations, enabling practical application like fast person re-identification and multimedia retrieval. It is argued that conflicts in binary space are one of the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-23 Fangrui Liu , Zheng Liu

Multi-task learning of dense prediction tasks, by sharing both the encoder and decoder, as opposed to sharing only the encoder, provides an attractive front to increase both accuracy and computational efficiency. When the tasks are similar,…

Computer Vision and Pattern Recognition · Computer Science 2022-08-22 Naresh Kumar Gurulingan , Elahe Arani , Bahram Zonooz

The Operating System (OS) kernel is foundational in modern computing, especially with the proliferation of diverse computing devices. However, its development also comes with vulnerabilities that can lead to severe security breaches. Kernel…

Cryptography and Security · Computer Science 2025-12-05 Jiacheng Xu , He Sun , Shihao Jiang , Qinying Wang , Mingming Zhang , Xiang Li , Kaiwen Shen , Peng Cheng , Jiming Chen , Charles Zhang , Shouling Ji

We integrate contrastive learning (CL) with adversarial learning to co-optimize the robustness and accuracy of code models. Different from existing works, we show that code obfuscation, a standard code transformation operation, provides…

Machine Learning · Computer Science 2023-03-07 Jinghan Jia , Shashank Srikant , Tamara Mitrovska , Chuang Gan , Shiyu Chang , Sijia Liu , Una-May O'Reilly

Hardware-software leakage contracts have emerged as a formalism for specifying side-channel security guarantees of modern processors, yet verifying that a complex hardware design complies with its contract remains a major challenge. While…

Cryptography and Security · Computer Science 2025-11-18 Gideon Geier , Pariya Hajipour , Jan Reineke

We present a new approach that bridges binary analysis techniques with machine learning classification for the purpose of providing a static and generic evaluation technique for opaque predicates, regardless of their constructions. We use…

Cryptography and Security · Computer Science 2019-09-05 Ramtine Tofighi-Shirazi , Irina Asăvoae , Philippe Elbaz-Vincent , Thanh-Ha Le

Disassembly is a challenging task, particularly for obfuscated executables containing junk bytes, which is designed to induce disassembly errors. Existing solutions rely on heuristics or leverage machine learning techniques, but only…

Cryptography and Security · Computer Science 2024-07-15 Huanyao Rong , Yue Duan , Hang Zhang , XiaoFeng Wang , Hongbo Chen , Shengchen Duan , Shen Wang

Recent research has shown that hardware fuzzers can effectively detect security vulnerabilities in modern processors. However, existing hardware fuzzers do not fuzz well the hard-to-reach design spaces. Consequently, these fuzzers cannot…

Cryptography and Security · Computer Science 2023-06-27 Chen Chen , Rahul Kande , Nathan Nguyen , Flemming Andersen , Aakash Tyagi , Ahmad-Reza Sadeghi , Jeyavijayan Rajendran

Passive operating system fingerprinting reveals valuable information to the defenders of heterogeneous private networks; at the same time, attackers can use fingerprinting to reconnoiter networks, so defenders need obfuscation techniques to…

Cryptography and Security · Computer Science 2017-06-27 Blake Anderson , David McGrew

Software debloating tools seek to improve program security and performance by removing unnecessary code, called bloat. While many techniques have been proposed, several barriers to their adoption have emerged. Namely, debloating tools are…

Software Engineering · Computer Science 2024-06-14 Michael D. Brown , Adam Meily , Brian Fairservice , Akshay Sood , Jonathan Dorn , Eric Kilmer , Ronald Eytchison

Double-fetch bugs are a special type of race condition, where an unprivileged execution thread is able to change a memory location between the time-of-check and time-of-use of a privileged execution thread. If an unprivileged attacker…

Cryptography and Security · Computer Science 2017-11-06 Michael Schwarz , Daniel Gruss , Moritz Lipp , Clémentine Maurice , Thomas Schuster , Anders Fogh , Stefan Mangard

Threats associated with the untrusted fabrication of integrated circuits (ICs) are numerous: piracy, overproduction, reverse engineering, hardware trojans, etc. The use of reconfigurable elements (i.e., look-up tables as in FPGAs) is a…

Cryptography and Security · Computer Science 2021-10-14 Zain Ul Abideen , Tiago Diadami Perez , Samuel Pagliarini

This study addresses the challenge of reverse engineering binaries from unknown instruction set architectures, a complex task with potential implications for software maintenance and cyber-security. We focus on the tasks of detecting…

Cryptography and Security · Computer Science 2024-01-17 Håvard Pettersen , Donn Morrison