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20142023
most citedEnsemble Adversarial Training: Attacks and Defenses

2.3k citations · 6.5k across the 41 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

cs.CR2022

Secure IP Address Allocation at Cloud Scale

Eric Pauley, Kyle Domico, Blaine Hoak +5

Public clouds necessitate dynamic resource allocation and sharing. However, the dynamic allocation of IP addresses can be abused by adversaries to source malicious traffic, bypass…

cs.CR2022★ 1 cited

Privacy-Preserving Protocols for Smart Cameras and Other IoT Devices

Yohan Beugin, Quinn Burke, Blaine Hoak +5

Millions of consumers depend on smart camera systems to remotely monitor their homes and businesses. However, the architecture and design of popular commercial systems require user…

cs.CR2022

Adversarial Plannning

Valentin Vie, Ryan Sheatsley, Sophia Beyda +4

Planning algorithms are used in computational systems to direct autonomous behavior. In a canonical application, for example, planning for autonomous vehicles is used to automate t…

cs.CR2022★ 11 cited

Measuring and Mitigating the Risk of IP Reuse on Public Clouds

Eric Pauley, Ryan Sheatsley, Blaine Hoak +3

Public clouds provide scalable and cost-efficient computing through resource sharing. However, moving from traditional on-premises service management to clouds introduces new chall…

cs.CR2022★ 6 cited

Generating Practical Adversarial Network Traffic Flows Using NIDSGAN

Bolor-Erdene Zolbayar, Ryan Sheatsley, Patrick McDaniel +4

Network intrusion detection systems (NIDS) are an essential defense for computer networks and the hosts within them. Machine learning (ML) nowadays predominantly serves as the basi…

cs.LG2022

Improving Radioactive Material Localization by Leveraging Cyber-Security Model Optimizations

Ryan Sheatsley, Matthew Durbin, Azaree Lintereur +1

One of the principal uses of physical-space sensors in public safety applications is the detection of unsafe conditions (e.g., release of poisonous gases, weapons in airports, tain…