491 citations · 693 across the 15 of their papers we have counts for
5 papers · 1 filter
Can Attention Masks Improve Adversarial Robustness?
Pratik Vaishnavi, Tianji Cong, Kevin Eykholt +2
Deep Neural Networks (DNNs) are known to be susceptible to adversarial examples. Adversarial examples are maliciously crafted inputs that are designed to fool a model, but appear n…
New Problems and Solutions in IoT Security and Privacy
Earlence Fernandes, Amir Rahmati, Nick Feamster
In a previous article for S&P magazine, we made a case for the new intellectual challenges in the Internet of Things security research. In this article, we revisit our earlier obse…
Decentralized Cooperative Communication-less Multi-Agent Task Assignment with Monte-Carlo Tree Search
Mohammadreza Daneshvaramoli, Mohammad Sina Kiarostami, Saleh Khalaj Monfared +5
Cooperative task assignment is an important subject in multi-agent systems with a wide range of applications. These systems are usually designed with massive communication among th…
Towards Model-Agnostic Adversarial Defenses using Adversarially Trained Autoencoders
Pratik Vaishnavi, Kevin Eykholt, Atul Prakash +1
Adversarial machine learning is a well-studied field of research where an adversary causes predictable errors in a machine learning algorithm through precise manipulation of the in…
VISCR: Intuitive & Conflict-free Automation for Securing the Dynamic Consumer IoT Infrastructures
Vasudevan Nagendra, Arani Bhattacharya, Vinod Yegneswaran +2
Consumer IoT is characterized by heterogeneous devices with diverse functionality and programming interfaces. This lack of homogeneity makes the integration and security management…