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20112023
most citedAnalyzing Federated Learning through an Adversarial Lens

382 citations · 2.5k across the 96 of their papers we have counts for

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17 papers · 1 filter

cs.LG2018★ 382 cited

Analyzing Federated Learning through an Adversarial Lens

Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal +1

Federated learning distributes model training among a multitude of agents, who, guided by privacy concerns, perform training using their local data but share only model parameter u…

cs.CR2018

Robust Website Fingerprinting Through the Cache Occupancy Channel

Anatoly Shusterman, Lachlan Kang, Yarden Haskal +4

Website fingerprinting attacks, which use statistical analysis on network traffic to compromise user privacy, have been shown to be effective even if the traffic is sent over anony…

cs.CR2018

A Query System for Efficiently Investigating Complex Attack Behaviors for Enterprise Security

Peng Gao, Xusheng Xiao, Zhichun Li +4

The need for countering Advanced Persistent Threat (APT) attacks has led to the solutions that ubiquitously monitor system activities in each enterprise host, and perform timely at…

eess.SY2018★ 4 cited

Protecting the Grid against IoT Botnets of High-Wattage Devices

Saleh Soltan, Prateek Mittal, H. Vincent Poor

We provide methods to prevent line failures in the power grid caused by a newly revealed MAnipulation of Demand (MAD) attacks via an IoT botnet of high-wattage devices. In particul…

cs.CY2018★ 3 cited

Automatically Generating a Large, Culture-Specific Blocklist for China

Austin Hounsel, Prateek Mittal, Nick Feamster

Internet censorship measurements rely on lists of websites to be tested, or "block lists" that are curated by third parties. Unfortunately, many of these lists are not public, and…

cs.CR2018★ 61 cited

SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection

Peng Gao, Xusheng Xiao, Ding Li +6

Recently, advanced cyber attacks, which consist of a sequence of steps that involve many vulnerabilities and hosts, compromise the security of many well-protected businesses. This…