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08/04/2023
SABRE: Robust Bayesian Peer-to-Peer Federated Learning
We introduce SABRE, a novel framework for robust variational Bayesian pe...
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07/18/2023
Experimental Security Analysis of DNN-based Adaptive Cruise Control under Context-Aware Perception Attacks
Adaptive Cruise Control (ACC) is a widely used driver assistance feature...
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01/25/2023
HoLA Robots: Mitigating Plan-Deviation Attacks in Multi-Robot Systems with Co-Observations and Horizon-Limiting Announcements
Emerging multi-robot systems rely on cooperation between humans and robo...
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01/23/2023
Backdoor Attacks in Peer-to-Peer Federated Learning
We study backdoor attacks in peer-to-peer federated learning systems on ...
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01/17/2023
Byzantine Resilience at Swarm Scale: A Decentralized Blocklist Protocol from Inter-robot Accusations
The Weighted-Mean Subsequence Reduced (W-MSR) algorithm, the state-of-th...
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08/27/2022
Network-Level Adversaries in Federated Learning
Federated learning is a popular strategy for training models on distribu...
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06/08/2022
A Flash(bot) in the Pan: Measuring Maximal Extractable Value in Private Pools
The rise of Ethereum has lead to a flourishing decentralized marketplace...
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04/09/2022
ShorTor: Improving Tor Network Latency via Multi-hop Overlay Routing
We present ShorTor, a protocol for reducing latency on the Tor network. ...
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02/18/2022
Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents
Automated attack discovery techniques, such as attacker synthesis or mod...
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10/18/2021
SPON: Enabling Resilient Inter-Ledgers Payments with an Intrusion-Tolerant Overlay
Payment systems are a critical component of everyday life in our society...
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07/17/2020
Exploiting Centrality: Attacks in Payment Channel Networks with Local Routing
Payment channel networks (PCN) enable scalable blockchain transactions w...
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04/02/2020
Automated Attacker Synthesis for Distributed Protocols
Distributed protocols should be robust to both benign malfunction (e.g. ...
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08/01/2019
The House That Knows You: User Authentication Based on IoT Data
Home-based Internet of Things (IoT) devices have gained in popularity an...
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04/15/2019
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction
Deep Neural Networks (DNNs) have tremendous potential in advancing the v...
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10/10/2018
Leveraging Textual Specifications for Grammar-based Fuzzing of Network Protocols
Grammar-based fuzzing is a technique used to find software vulnerabiliti...
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09/08/2018
On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks
Transferability captures the ability of an attack against a machine-lear...
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04/01/2018
