The threat of offensive ai to organizations

Y Mirsky, A Demontis, J Kotak, R Shankar, D Gelei… - Computers & …, 2023 - Elsevier
AI has provided us with the ability to automate tasks, extract information from vast amounts of
data, and synthesize media that is nearly indistinguishable from the real thing. However …

Beyond boundaries: A comprehensive survey of transferable attacks on ai systems

G Wang, C Zhou, Y Wang, B Chen, H Guo… - arxiv preprint arxiv …, 2023 - arxiv.org
Artificial Intelligence (AI) systems such as autonomous vehicles, facial recognition, and
speech recognition systems are increasingly integrated into our daily lives. However …

Can virtual reality protect users from keystroke inference attacks?

Z Yang, Z Sarwar, I Hwang, R Bhaskar… - 33rd USENIX Security …, 2024 - usenix.org
Virtual Reality (VR) has gained popularity by providing immersive and interactive
experiences without geographical limitations. It also provides a sense of personal privacy …

Towards a general video-based keystroke inference attack

Z Yang, Y Chen, Z Sarwar, H Schwartz… - 32nd USENIX Security …, 2023 - usenix.org
A large collection of research literature has identified the privacy risks of keystroke inference
attacks that use statistical models to extract content typed onto a keyboard. Yet existing …

You Can't See Me: Providing Privacy in Vision Pipelines via Wi-Fi Localization

S Irshad, R Thakkar, E Rozner… - 2023 IEEE 29th …, 2023 - ieeexplore.ieee.org
Today, video cameras are ubiquitously deployed. These cameras collect, stream, store, and
analyze video footage for a variety of use cases, ranging from surveillance, retail analytics …

Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low Data Constraints

J Lim, JM Frahm, F Monrose - … of the Twelfth ACM Conference on Data …, 2022 - dl.acm.org
Keystroke inference attacks are a form of side-channel attacks in which an attacker
leverages various techniques to recover a user's keystrokes as she inputs information into …

Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low Data

J Lim, JM Frahm, F Monrose - arxiv preprint arxiv:2204.02494, 2022 - arxiv.org
Keystroke inference attacks are a form of side-channel attacks in which an attacker
leverages various techniques to recover a user's keystrokes as she inputs information into …