ERD

Generating Realistic Vulnerabilities via Neural Code Editing: An Empirical Study

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Semantic bug seeding: a learning-based approach for creating realistic bugs

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

DynaPyt: A Dynamic Analysis Framework for Python

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Finding the Dwarf: Recovering Precise Types from WebAssembly Binaries

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Learning to make compiler optimizations more effective

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Extracting taint specifications for JavaScript libraries

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Bugs in Quantum Computing Platforms: An Empirical Study

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

IdBench: Evaluating Semantic Representations of Identifier Names in Source Code

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Thinking Like a Developer? Comparing the Attention of Humans with Neural Models of Code

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Code Search: A Survey of Techniques for Finding Code

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Periodic Reporting for period 2 - LearnBugs (Learning to Find Software Bugs)

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Preventing Dynamic Library Compromise on Node.js via RWX-Based Privilege Reduction

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Nessie: Automatically Testing JavaScript APIs with Asynchronous Callbacks

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

The Evolution of Type Annotations in Python: An Empirical Study

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

No strings attached - an empirical study of string-related software bugs

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

ConfProf: White-Box Performance Profiling of Configuration Options

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Continuous test suite failure prediction

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Data Management Plan

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Finding data compatibility bugs with JSON subschema checking

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Nalin: Learning from Runtime Behavior to Find Name-Value Inconsistencies in Jupyter Notebooks

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Wobfuscator: Obfuscating JavaScript Malware via Opportunistic Translation to WebAssembly

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Everything Old is New Again: Binary Security of WebAssembly

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Neural Software Analysis

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

TypeWriter: neural type prediction with search-based validation

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Scaffle: bug localization on millions of files

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

An Empirical Study of Real-World WebAssembly Binaries - Security, Languages, Use Cases

Project: LearnBugs

Updated at: 27-04-2024

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Project acronym LearnBugs

Resources

Selected filters:

Generating Realistic Vulnerabilities via Neural Code Editing: An Empirical Study

Semantic bug seeding: a learning-based approach for creating realistic bugs

DynaPyt: A Dynamic Analysis Framework for Python

Finding the Dwarf: Recovering Precise Types from WebAssembly Binaries

Learning to make compiler optimizations more effective

Extracting taint specifications for JavaScript libraries

Bugs in Quantum Computing Platforms: An Empirical Study

IdBench: Evaluating Semantic Representations of Identifier Names in Source Code

CrystalBLEU: Precisely and Efficiently Measuring the Similarity of Code

Thinking Like a Developer? Comparing the Attention of Humans with Neural Models of Code

Code Search: A Survey of Techniques for Finding Code

Periodic Reporting for period 2 - LearnBugs (Learning to Find Software Bugs)

Preventing Dynamic Library Compromise on Node.js via RWX-Based Privilege Reduction

Nessie: Automatically Testing JavaScript APIs with Asynchronous Callbacks

The Evolution of Type Annotations in Python: An Empirical Study

No strings attached - an empirical study of string-related software bugs

ConfProf: White-Box Performance Profiling of Configuration Options

Continuous test suite failure prediction

Data Management Plan

Finding data compatibility bugs with JSON subschema checking

Nalin: Learning from Runtime Behavior to Find Name-Value Inconsistencies in Jupyter Notebooks

Wobfuscator: Obfuscating JavaScript Malware via Opportunistic Translation to WebAssembly

Everything Old is New Again: Binary Security of WebAssembly

Neural Software Analysis

TypeWriter: neural type prediction with search-based validation

Scaffle: bug localization on millions of files

An Empirical Study of Real-World WebAssembly Binaries - Security, Languages, Use Cases