This technique measures device response time to determine distance: The scientists tested the exploit by modifying an off-the-shelf drone to create a flying scanning device, the Wi-Peep. The robotic aircraft sends several messages to each device as it flies around, establishing the positions of devices in each room. A thief using the drone could find … Read More “Using Wi-FI to See through Walls” »
Category: academic papers
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Machine learning security is extraordinarily difficult because the attacks are so varied—and it seems that each new one is weirder than the next. Here’s the latest: a training-time attack that forces the model to exhibit a point of view: Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures.” Abstract: We investigate a new threat to neural … Read More “Adversarial ML Attack that Secretly Gives a Language Model a Point of View” »
Interesting research: “ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks, by Tim Clifford, Ilia Shumailov, Yiren Zhao, Ross Anderson, and Robert Mullins: Abstract: Early backdoor attacks against machine learning set off an arms race in attack and defence development. Defences have since appeared demonstrating some ability to detect backdoors in models or even remove … Read More “Inserting a Backdoor into a Machine-Learning System” »
This is interesting research: In this paper, we develop a new mechanism for detecting audio deepfakes using techniques from the field of articulatory phonetics. Specifically, we apply fluid dynamics to estimate the arrangement of the human vocal tract during speech generation and show that deepfakes often model impossible or highly-unlikely anatomical arrangements. When parameterized to … Read More “Detecting Deepfake Audio by Modeling the Human Acoustic Tract” »
Depending on where you are when you download your Android apps, it might collect more or less data about you. The apps we downloaded from Google Play also showed differences based on country in their security and privacy capabilities. One hundred twenty-seven apps varied in what the apps were allowed to access on users’ mobile … Read More “Differences in App Security/Privacy Based on Country” »
Okay, it’s an obscure threat. But people are researching it: Our models and experimental results in a controlled lab setting show it is possible to reconstruct and recognize with over 75 percent accuracy on-screen texts that have heights as small as 10 mm with a 720p webcam.” That corresponds to 28 pt, a font size … Read More “Leaking Screen Information on Zoom Calls through Reflections in Eyeglasses” »
Nadiya Kostyuk and Susan Landau wrote an interesting paper: “Dueling Over DUAL_EC_DRBG: The Consequences of Corrupting a Cryptographic Standardization Process“: Abstract: In recent decades, the U.S. National Institute of Standards and Technology (NIST), which develops cryptographic standards for non-national security agencies of the U.S. government, has emerged as the de facto international source for cryptographic … Read More “On the Subversion of NIST by the NSA” »
We’ve always known that phones—and the people carrying them—can be uniquely identified from their Bluetooth signatures, and that we need security techniques to prevent that. This new research shows that that’s not enough. Computer scientists at the University of California San Diego proved in a study published May 24 that minute imperfections in phones caused … Read More “Tracking People via Bluetooth on Their Phones” »
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” »
This is a new vulnerability against Apple’s M1 chip. Researchers say that it is unpatchable. Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory, however, have created a novel hardware attack, which combines memory corruption and speculative execution attacks to sidestep the security feature. The attack shows that pointer authentication can be defeated without leaving … Read More “M1 Chip Vulnerability” »