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Vulnerability discovery, threat intelligence, reverse engineering, AppSec
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SCAML_PHD2.pdf
19.4 MB
SCAML

Transformer-based code vectorization for robust recognition of software components and dependencies

#phdays #ml #ai
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scaml_lite_full.pdf
2.9 MB
SCAML Lite

Data Driven подход к сигнатурному
анализу пакетов

#phdays #ml
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SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing

https://www.mlsec.org/docs/2024c-asiaccs.pdf
LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

https://arxiv.org/pdf/2405.17238v1
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Code Structure-Aware through Line-level Semantic Learning for Code Vulnerability Detection

https://arxiv.org/pdf/2407.18877
On Understanding and Forecasting Fuzzers Performance with Static Analysis

https://s3.eurecom.fr/docs/ccs24_zhang.pdf
ARVO: Atlas of Reproducible Vulnerabilities for Open Source Software

https://arxiv.org/pdf/2408.02153
Exploring RAG-based Vulnerability Augmentation with LLMs

https://arxiv.org/pdf/2408.04125
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Transferring Backdoors between Large Language Models by Knowledge Distillation

https://arxiv.org/pdf/2408.09878
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Top Score on the Wrong Exam:
On Benchmarking in Machine Learning for Vulnerability Detection

https://arxiv.org/pdf/2408.12986
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