6 matches found
Password Strength Analysis through Social Network Data Exposure: A Combined Approach Relying on Data Reconstruction and Generative Models
Although passwords remain the primary defense against unauthorized access, users often tend to use passwords that are easy to remember. This behavior significantly increases security risks, also due to the fact that traditional password strength evaluation methods are often inadequate. In this...
AuthPrint: Fingerprinting Generative Models against Malicious Model Providers
Generative models are increasingly adopted in high-stakes domains, yet current deployments offer no mechanisms to verify the origin of model outputs. We address this gap by extending model fingerprinting techniques beyond the traditional collaborative setting to one where the model provider may a...
VideoMarkBench: Benchmarking Robustness of Video Watermarking
The rapid development of video generative models has led to a surge in highly realistic synthetic videos, raising ethical concerns related to disinformation and copyright infringement. Recently, video watermarking has been proposed as a mitigation strategy by embedding invisible marks into...
Exploring Artificial Intelligence: Is AI Overhyped?
Dive into AI technologies like inference, deep learning, and generative models to learn how LLMs and AI are transforming cybersecurity and tech industries...
AI-Generated Steganography
New research suggests that AIs can produce perfectly secure steganographic images: Abstract: Steganography is the practice of encoding secret information into innocuous content in such a manner that an adversarial third party would not realize that there is hidden meaning. While this problem has...
Repurposing Neural Networks to Generate Synthetic Media for Information Operations
FireEye’s Data Science and Information Operations Analysis teams released this blog post to coincide with our Black Hat USA 2020 Briefing, which details how open source, pre-trained neural networks can be leveraged to generate synthetic media for malicious purposes. To summarize our presentation,...