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The disclosure of the Spectre speculative-execution attacks in January 2018 has left a severe vulnerability that systems are still struggling with how to patch. The solutions that currently exist tend to have incomplete coverage, perform…

Cryptography and Security · Computer Science 2020-06-09 Sam Ainsworth , Timothy M. Jones

Self-speculative decoding (SSD) accelerates LLM inference by skipping layers to create an efficient draft model, yet existing methods often rely on static heuristics that ignore the dynamic computational overhead of attention in…

Machine Learning · Computer Science 2026-02-25 Seongjin Cha , Gyuwan Kim , Dongsu Han , Tao Yang , Insu Han

Program repair is an integral part of every software system's life-cycle but can be extremely challenging. To date, researchers have proposed various automated program repair (APR) techniques to reduce efforts of manual debugging. However,…

Software Engineering · Computer Science 2021-04-13 Samuel Benton , Mengshi Zhang , Xia Li , Lingming Zhang

Program repair techniques offer cost-saving benefits for debugging within software development and programming education scenarios. With the proven effectiveness of Large Language Models (LLMs) in code-related tasks, researchers have…

Software Engineering · Computer Science 2024-07-09 Boyang Yang , Haoye Tian , Weiguo Pian , Haoran Yu , Haitao Wang , Jacques Klein , Tegawendé F. Bissyandé , Shunfu Jin

The efficacy of address space layout randomization has been formally demonstrated in a shared-memory model by Abadi et al., contingent on specific assumptions about victim programs. However, modern operating systems, implementing layout…

Cryptography and Security · Computer Science 2025-04-14 Davide Davoli , Martin Avanzini , Tamara Rezk

Automated Program Repair (APR) has recently benefited from large language models (LLMs). However, most LLM-based APR approaches still rely primarily on coarse end-to-end signals from test-suite outcomes to guide repair, providing limited…

Software Engineering · Computer Science 2026-04-14 Minh Le-Anh , Cuong Chi Le , Tien N. Nguyen

Agent-repair leaderboards reorder under evaluator reconfiguration, and a measurable share of the reordering is produced by methods that consult evaluator-derived signal during internal selection of candidate repairs. We document this…

Artificial Intelligence · Computer Science 2026-05-07 Yuelin Hu , Zhenbo Yu , Zhengxue Cheng , Wei Liu , Li Song

Large language models have been successfully applied to programming assistance tasks, such as code completion, code insertion, and instructional code editing. However, these applications remain insufficiently automated and struggle to…

Computation and Language · Computer Science 2025-05-14 Hao Jiang , Qi Liu , Rui Li , Shengyu Ye , Shijin Wang

Context: Learning-based automatic program repair techniques are showing promise to provide quality fix suggestions for detected bugs in the source code of the software. These tools mostly exploit historical data of buggy and fixed code…

Software Engineering · Computer Science 2020-10-07 Faria Huq , Masum Hasan , Mahim Anzum Haque Pantho , Sazan Mahbub , Anindya Iqbal , Toufique Ahmed

Leakage contracts have been proposed as a new security abstraction at the instruction set architecture level. Leakage contracts aim to capture the information that processors may leak via microarchitectural side channels. Recently, the…

Cryptography and Security · Computer Science 2025-09-09 Zilong Wang , Gideon Mohr , Klaus von Gleissenthall , Jan Reineke , Marco Guarnieri

Recent security vulnerabilities that target speculative execution (e.g., Spectre) present a significant challenge for processor design. The highly publicized vulnerability uses speculative execution to learn victim secrets by changing cache…

We propose a path-based approach to program repair for imperative programs. Our repair framework takes as input a faulty program, a logic specification that is refuted, and a hint where the fault may be located. An iterative abstraction…

Programming Languages · Computer Science 2015-03-18 Heinz Riener , Rüdiger Ehlers , Görschwin Fey

Automated program repair is an emerging technology that seeks to automatically rectify bugs and vulnerabilities using learning, search, and semantic analysis. Trust in automatically generated patches is necessary for achieving greater…

Software Engineering · Computer Science 2022-02-14 Yannic Noller , Ridwan Shariffdeen , Xiang Gao , Abhik Roychoudhury

The Spectre vulnerability in modern processors has been widely reported. The key insight in this vulnerability is that speculative execution in processors can be misused to access the secrets. Subsequently, even though the speculatively…

Cryptography and Security · Computer Science 2019-11-13 Guanhua Wang , Sudipta Chattopadhyay , Ivan Gotovchits , Tulika Mitra , Abhik Roychoudhury

CPUs provide isolation mechanisms like virtualization and privilege levels to protect software. Yet these focus on architectural isolation while typically overlooking microarchitectural side channels, exemplified by Meltdown and Foreshadow.…

Cryptography and Security · Computer Science 2025-07-09 Oleksii Oleksenko , Flavien Solt , Cédric Fournet , Jana Hofmann , Boris Köpf , Stavros Volos

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

Deployed large language models (LLMs) often rely on speculative decoding, a technique that generates and verifies multiple candidate tokens in parallel, to improve throughput and latency. In this work, we reveal a new side-channel whereby…

Computation and Language · Computer Science 2026-02-12 Jiankun Wei , Abdulrahman Abdulrazzag , Tianchen Zhang , Adel Muursepp , Gururaj Saileshwar

Recent work has shown that out-of-order and speculative execution mechanisms used to increase performance in the majority of processors expose the processors to critical attacks. These attacks, called Meltdown and Spectre, exploit the side…

Cryptography and Security · Computer Science 2025-11-25 Subhash Sethumurugan , Hari Cherupalli , Kangjie Lu , John Sartori

Meltdown and Spectre exploit microarchitectural changes the CPU makes during transient out-of-order execution. Using side-channel techniques, these attacks enable leaking arbitrary data from memory. As state-of-the-art software mitigations…

Cryptography and Security · Computer Science 2021-03-08 Michael Schwarz , Claudio Canella , Lukas Giner , Daniel Gruss

Cryptographic research takes software timing side channels seriously. Approaches to mitigate them include constant-time coding and techniques to enforce such practices. However, recent attacks like Meltdown [42], Spectre [37], and…

Cryptography and Security · Computer Science 2025-04-29 Martin Dunsche , Patrick Bastian , Marcel Maehren , Nurullah Erinola , Robert Merget , Nicolai Bissantz , Holger Dette , Jörg Schwenk