Awesome Cryptography & Security

Knowledge Over Parameters: Evolving Smart Contract Vulnerability Detection (2026)

Yuqiang Sun et al.

5.01

Black-Box Inference of LLM Architectural Properties with Restrictive API Access (2026)

Christopher Ellis et al.

4.39

AgentFlow: Building Agent Dependency Graphs for Static Analysis of Agent Programs (2026)

Shenao Wang et al.

4.39

Steerability via constraints: a substrate for scalable oversight of coding agents (2026)

Thomas Winninger

4.39

Cloak and Detonate: Scanner Evasion and Dynamic Detection of Agent Skill Malware (2026)

Zimo Ji et al.

3.51

Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA (2026)

Shaswata Mitra et al.

3.51

Harmless Yet Harmful: Neutral Prompting Attacks for Stealthy Hallucination Steering in Agent Skills (2026)

Chia-Yi Hsu et al.

3.39

ROSA: Finding Backdoors with Fuzzing (2025)

Dimitri Kokkonis (IP Paris et al.

2.82

Efficient Software Vulnerability Detection Using Transformer-based Models (2026)

Sameer Shaik et al.

1.83

Misquoted No More: Securely Extracting F* Programs with IO (2026)

Cezar-Constantin Andrici et al.

1.72

Cutting the Gordian Knot: Detecting Malicious PyPI Packages via a Knowledge-Mining Framework (2026)

Wenbo Guo et al.

1.67

Zipf-Gramming: Scaling Byte N-Grams Up to Production Sized Malware Corpora (2025)

Edward Raff et al.

1.56

LSPFuzz: Hunting Bugs in Language Servers (2025)

Hengcheng Zhu et al.

1.50

The Secrets Must Not Flow: Scaling Security Verification to Large Codebases (extended version) (2025)

Linard Arquint et al.

1.33

OpCode-Based Malware Classification Using Machine Learning and Deep Learning Techniques (2025)

Varij Saini et al.

1.17

EditLord: Learning Code Transformation Rules for Code Editing (2025)

Weichen Li et al.

1.17

R+R: Revisiting Static Feature-Based Android Malware Detection using Machine Learning (2024)

Md Tanvirul Alam et al.

0.83

SPARK: Static Program Analysis Reasoning and Retrieving Knowledge (2017)

Wasuwee Sodsong et al.

—

Neural Reverse Engineering of Stripped Binaries using Augmented Control Flow Graphs (2019)

Yaniv David et al.

—

DeepCheck: A Non-intrusive Control-flow Integrity Checking based on Deep Learning (2019)

Jiliang Zhang et al.

—

Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection Technique (2019)

Muhammad Furqan Rafique et al.

—

Deep-CAPTCHA: a deep learning based CAPTCHA solver for vulnerability assessment (2020)

Zahra Noury and Mahdi Rezaei

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Symbolic Execution and Debugging Synchronization (2020)

Andrea Fioraldi

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CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software (2021)

Guru Prasad Bhandari et al.

—

Symbolic Security Predicates: Hunt Program Weaknesses (2021)

Alexey Vishnyakov et al.

—

Do I really need all this work to find vulnerabilities? An empirical case study comparing vulnerability detection techniques on a Java application (2022)

Sarah Elder et al.

—

HyperPUT: Generating Synthetic Faulty Programs to Challenge Bug-Finding Tools (2022)

Riccardo Felici et al.

—

LogGD:Detecting Anomalies from System Logs by Graph Neural Networks (2022)

Yongzheng Xie et al.

—

Stealthy Backdoor Attack for Code Models (2023)

Zhou Yang et al.

—

Beware of the Unexpected: Bimodal Taint Analysis (2023)

Yiu Wai Chow and Max Sch\"afer and Michael Pradel

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A User-centered Security Evaluation of Copilot (2023)

Owura Asare et al.

—

Nebula: Self-Attention for Dynamic Malware Analysis (2023)

Dmitrijs Trizna et al.

—

Vignat: Vulnerability identification by learning code semantics via graph attention networks (2023)

Shuo Liu and Gail Kaiser

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Do Language Models Learn Semantics of Code? A Case Study in Vulnerability Detection (2023)

Benjamin Steenhoek et al.

—

PPT4J: Patch Presence Test for Java Binaries (2023)

Zhiyuan Pan et al.

—

An Extensive Comparison of Static Application Security Testing Tools (2024)

Matteo Esposito et al.

—

Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation (2024)

Zhaoyang Chu et al.

—

SBOM.EXE: Countering Dynamic Code Injection based on Software Bill of Materials in Java (2024)

Aman Sharma et al.

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Variables are a Curse in Software Vulnerability Prediction (2024)

Jinghua Groppe et al.

—

BinEnhance: An Enhancement Framework Based on External Environment Semantics for Binary Code Search (2024)

Yongpan Wang and Hong Li and Xiaojie Zhu and Siyuan Li and Chaopeng Dong and Shouguo Yang and Kangyuan Qin

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Dynamic Taint Tracking using Partial Instrumentation for Java Applications (2024)

Manoj RameshChandra Thakur

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Awesome Cryptography & Security

Datasets & benchmarks

Key papers

Cryptography & Security

Awesome Cryptography & Security

Datasets & benchmarks

Key papers