PoTS: Proof-Of-Training-Steps for Backdoor Detection in Large Language Models

As Large Language Models LLMs gain traction across critical domains, ensuring secure and trustworthy training processes has become a major concern. Backdoor attacks, where malicious actors inject hidden triggers into training data, are particularly insidious and difficult to detect. Existing...

NSA Group Security Advisory NSAG-№197-23.02.2006 Vulnerability CubeCart 3.0.0 – 3.0.6

Advisory: NSAG-№197-23.02.2006 Research: NSA Group Russian company on Audit of safety & Network security Site of Research: http://www.nsag.ru or http://www.nsag.org Product: CubeCart 3.0.0 – 3.0.6 Site of manufacturer: http://www.cubecart.com The status: 19/11/2005 - Publication is postponed...

NSA Group Security Advisory NSAG-№198-23.02.2006 Vulnerability ArGoSoft Mail Server Pro

Advisory: NSAG-№201-24.02.2006 Research: NSA Group Russian company on Audit of safety & Network security Site of Research: http://www.nsag.ru or http://www.nsag.org Product: ArGoSoft Mail Server Pro 1.8 POP Site of manufacturer: www.argosoft.com The status: 19/11/2005 - Publication is postponed...