1k citations · 10.8k across the 111 of their papers we have counts for
4 papers · 2 filters
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data
Xinyun Chen, Wenxiao Wang, Chris Bender +4
Training deep neural networks from scratch could be computationally expensive and requires a lot of training data. Recent work has explored different watermarking techniques to pro…
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
Wenbo Guo, Lun Wang, Xinyu Xing +2
A trojan backdoor is a hidden pattern typically implanted in a deep neural network. It could be activated and thus forces that infected model behaving abnormally only when an input…
Keystone: An Open Framework for Architecting TEEs
Dayeol Lee, David Kohlbrenner, Shweta Shinde +2
Trusted execution environments (TEEs) are being used in all the devices from embedded sensors to cloud servers and encompass a range of cost, power constraints, and security threat…
Impossibility of Full Decentralization in Permissionless Blockchains
Yujin Kwon, Jian Liu, Minjeong Kim +2
Bitcoin uses blockchain technology and proof-of-work (PoW) mechanism where nodes spend computing resources and earn rewards in return for spending these resources. This incentive s…