Interesting research: “Sponge Examples: Energy-Latency Attacks on Neural Networks“: Abstract: The high energy costs of neural network training and inference led to the use of acceleration hardware such as GPUs and TPUs. While such devices enable us to train large-scale neural networks in datacenters and deploy them on edge devices, their designers’ focus so far … Read More “Attacking the Performance of Machine Learning Systems” »
Category: machine learning
Auto Added by WPeMatico
Yet another adversarial ML attack: Most deep neural networks are trained by stochastic gradient descent. Now “stochastic” is a fancy Greek word for “random”; it means that the training data are fed into the model in random order. So what happens if the bad guys can cause the order to be not random? You guessed … Read More “Manipulating Machine-Learning Systems through the Order of the Training Data” »
Yet another method of surveillance: Radar can detect you moving closer to a computer and entering its personal space. This might mean the computer can then choose to perform certain actions, like booting up the screen without requiring you to press a button. This kind of interaction already exists in current Google Nest smart displays, … Read More “Using Radar to Read Body Language” »
Researchers trained a machine-learning system on videos of people typing their PINs into ATMs: By using three tries, which is typically the maximum allowed number of attempts before the card is withheld, the researchers reconstructed the correct sequence for 5-digit PINs 30% of the time, and reached 41% for 4-digit PINs. This works even if … Read More “Using Machine Learning to Guess PINs from Video” »
Interesting research: “EvilModel: Hiding Malware Inside of Neural Network Models”. Abstract: Delivering malware covertly and detection-evadingly is critical to advanced malware campaigns. In this paper, we present a method that delivers malware covertly and detection-evadingly through neural network models. Neural network models are poorly explainable and have a good generalization ability. By embedding malware into … Read More “Hiding Malware in ML Models” »
The Center for Security and Emerging Technology has a new report: “Machine Learning and Cybersecurity: Hype and Reality.” Here’s the bottom line: The report offers four conclusions: Machine learning can help defenders more accurately detect and triage potential attacks. However, in many cases these technologies are elaborations on long-standing methods — not fundamentally new approaches … Read More “The Future of Machine Learning and Cybersecurity” »
In a 6-3 ruling, the Supreme Court just narrowed the scope of the Computer Fraud and Abuse Act: In a ruling delivered today, the court sided with Van Buren and overturned his 18-month conviction. In a 37-page opinion written and delivered by Justice Amy Coney Barrett, the court explained that the “exceeds authorized access” language … Read More “The Supreme Court Narrowed the CFAA” »
Microsoft researchers just released an open-source automation tool for security testing AI systems: “Counterfit.” Details on their blog. Powered by WPeMatico