(Не)стандартный подход к моделированию Supply Chain Attack
Исследуйте методы защиты от Supply Chain атак через практические примеры моделирования угроз и эффективные стратегии предотвращения в сфере Operations Security.
Insecure Execution: Attacking the Cloud Native Supply Chain
Explore cloud native supply chain vulnerabilities and learn strategies to enhance security against internal threats and software implants.
Confused Learning: Supply Chain Attacks Through Machine Learning Models
Explore novel ML model vulnerabilities, including malware distribution and data exfiltration. Learn to create, distribute, and analyze ML malware, with insights on threat hunting and mitigation strategies.
Lessons Learned from the Summer of Supply Chain Attacks
Explore multi-cloud environment compromises, supply chain attacks, and their implications for data security, governance, contracting, communications, and legal exposure with expert panelists.
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models - Explained
Explore how tampering with pretrained models can compromise privacy, enabling attackers to reconstruct finetuning data. Learn about privacy backdoors in transformers and their implications for machine learning security.
TTPs of Attacks on OSS in Python - Trusty Package Security
Explore tactics and techniques of supply-chain attacks on Python open-source software, including starjacking, installation, delivery, and exfiltration. Learn defensive strategies against these threats.
A Java Developer's Guide to Supply Chain Security
Discover essential software supply chain security practices for Java development, from SBOMs and automated builds to vulnerability management and secure distribution methods.
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