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09/03/2023
Game Theory in Distributed Systems Security: Foundations, Challenges, and Future Directions
Many of our critical infrastructure systems and personal computing syste...
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07/11/2023
Benchmarking Algorithms for Federated Domain Generalization
While prior domain generalization (DG) benchmarks consider train-test da...
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04/11/2023
EESMR: Energy Efficient BFT-SMR for the masses
Modern Byzantine Fault-Tolerant State Machine Replication (BFT-SMR) solu...
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03/27/2023
The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning
Secure aggregation promises a heightened level of privacy in federated l...
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03/21/2023
Secure Aggregation in Federated Learning is not Private: Leaking User Data at Large Scale through Model Modification
Security and privacy are important concerns in machine learning. End use...
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02/16/2023
An Open Dataset of Sensor Data from Soil Sensors and Weather Stations at Production Farms
Weather and soil conditions are particularly important when it comes to ...
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06/13/2022
Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets
Smart manufacturing systems are being deployed at a growing rate because...
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12/24/2021
Virtuoso: Video-based Intelligence for real-time tuning on SOCs
Efficient and adaptive computer vision systems have been proposed to mak...
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10/19/2021
TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks
Federated learning—multi-party, distributed learning in a decentralized ...
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07/18/2021
Federated Action Recognition on Heterogeneous Embedded Devices
Federated learning allows a large number of devices to jointly learn a m...
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07/14/2021
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests
While previous distribution shift detection approaches can identify if a...
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03/05/2021
The Effect of Behavioral Probability Weighting in a Simultaneous Multi-Target Attacker-Defender Game
We consider a security game in a setting consisting of two players (an a...
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02/11/2021
Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems
IoT systems have been facing increasingly sophisticated technical proble...
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12/24/2020
Exploring Adversarial Examples via Invertible Neural Networks
Adversarial examples (AEs) are images that can mislead deep neural netwo...
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11/12/2020
Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems
We model the behavioral biases of human decision-making in securing inte...
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11/11/2020
I-BOT: Interference-Based Orchestration of Tasks for Dynamic Unmanaged Edge Computing
In recent years, edge computing has become a popular choice for latency-...
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10/21/2020
ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles
Advanced video analytic systems, including scene classification and obje...
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10/05/2020
Towards Generalized and Distributed Privacy-Preserving Representation Learning
We study the problem of learning data representations that are private y...
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06/22/2020
Hybrid Low-Power Wide-Area Mesh Network for IoT Applications
The recent advancement of the Internet of Things (IoT) enables the possi...
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05/26/2020
Context-Aware Collaborative-Intelligence with Spatio-Temporal In-Sensor-Analytics for Efficient Communication in a Large-Area IoT Testbed
Decades of continuous scaling has reduced the energy of unit computing t...
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05/15/2020
New Frontiers in IoT: Networking, Systems, Reliability, and Security Challenges
The field of IoT has blossomed and is positively influencing many applic...
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04/04/2020
BASCPS: How does behavioral decision making impact the security of cyber-physical systems?
We study the security of large-scale cyber-physical systems (CPS) consis...
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04/02/2020
Event-Triggered Distributed Inference
We study a setting where each agent in a network receives certain privat...
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01/09/2020
Behavioral and Game-Theoretic Security Investments in Interdependent Systems Modeled by Attack Graphs
We consider a system consisting of multiple interdependent assets, and a...
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12/25/2019
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures
A set of about 80 researchers, practitioners, and federal agency program...
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12/20/2019
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap
Cyberphysical systems (CPS) are ubiquitous in our personal and professio...
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12/16/2019
AppStreamer: Reducing Storage Requirements of Mobile Games through Predictive Streaming
Storage has become a constrained resource on smartphones. Gaming is a po...
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09/22/2019
HAWKEYE: Adversarial Example Detector for Deep Neural Networks
Adversarial examples (AEs) are images that can mislead deep neural netwo...
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08/28/2019
ApproxNet: Content and Contention Aware Video Analytics System for the Edge
Videos take lot of time to transport over the network, hence running ana...
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01/25/2019
Misleading Metadata Detection on YouTube
YouTube is the leading social media platform for sharing videos. As a re...
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12/30/2018
ATHENA: Automated Tuning of Genomic Error Correction Algorithms using Language Models
The performance of most error-correction algorithms that operate on geno...
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02/17/2018
MAVIS: Managing Datacenters using Smartphones
Distributed monitoring plays a crucial role in managing the activities o...
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11/23/2017
TRIFECTA: Security, Energy-Efficiency, and Communication Capacity Comparison for Wireless IoT Devices
The widespread proliferation of sensor nodes in the era of Internet of T...
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10/11/2017