V-Fuzz: Vulnerability-Oriented Evolutionary Fuzzing論文分析
V-Fuzz: Vulnerability-Oriented Evolutionary Fuzzing論文分析 針對二進制程序，也可以用於開源軟件（需要將其編譯成二進制程序） 類似於定向fuzz–不是定向fuzz，而是找到目標輔助種子選擇 V-Fuzz結合了漏洞預測和進化fuzz的優勢，同時減小了劣勢（由於漏洞預測模型不是精確的，所以對脆弱代碼使用大權重，對其他代碼使用較小的權重，以防止模型出現錯
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相關文章
- 1. T-fuzz--fuzzing by program transformation論文概要
- 2. Evolutionary Computing: 5. Evolutionary Strategies(1)
- 3. Evolutionary Generative Adversarial Networks-論文簡介-進化算法+GANs
- 4. 讀論文Constructing Narrative Event Evolutionary Graph for Script Event Prediction
- 5. Surrogate-Assisted Evolutionary DL Using E2E Random Forest-based Performance Predictor 論文研讀
- 6. 論文閱讀：Co-Evolutionary Compression for Unpaired Image Translation
- 7. [論文解讀]An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints
- 8. NAS 論文筆記：NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
- 9. 環簽名論文分析
- 10. [論文解讀] DLFuzz: Differential Fuzzing Testing of Deep Learning Systems