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09/19/2023
Using AI Uncertainty Quantification to Improve Human Decision-Making
AI Uncertainty Quantification (UQ) has the potential to improve human de...
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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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06/01/2023
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
The black-box nature of complex Neural Network (NN)-based models has hin...
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05/01/2023
IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception
Over the years, honeypots emerged as an important security tool to under...
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11/24/2022
Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT
Topological data analysis (TDA) delivers invaluable and complementary in...
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11/29/2021
The Impact of Data Distribution on Fairness and Robustness in Federated Learning
Federated Learning (FL) is a distributed machine learning protocol that ...
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10/19/2021
Multi-concept adversarial attacks
As machine learning (ML) techniques are being increasingly used in many ...
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09/23/2021
Learning Generative Deception Strategies in Combinatorial Masking Games
Deception is a crucial tool in the cyberdefence repertoire, enabling def...
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06/24/2021
SecureDL: Securing Code Execution and Access Control for Distributed Data Analytics Platforms
Distributed data analytics platforms such as Apache Spark enable cost-ef...
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06/21/2021
Dynamically Adjusting Case-Reporting Policy to Maximize Privacy and Utility in the Face of a Pandemic
Managing a pandemic requires continuous dissemination of infectious dise...
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06/03/2021
BiFair: Training Fair Models with Bilevel Optimization
Prior studies have shown that, training machine learning models via empi...
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06/03/2021
Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks
Motivated by the recent surge of criminal activities with cross-cryptocu...
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05/10/2021
Improving Fairness of AI Systems with Lossless De-biasing
In today's society, AI systems are increasingly used to make critical de...
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04/10/2021
Smart Vectorizations for Single and Multiparameter Persistence
The machinery of topological data analysis becomes increasingly popular ...
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03/15/2021
Blockchain Networks: Data Structures of Bitcoin, Monero, Zcash, Ethereum, Ripple and Iota
Blockchain is an emerging technology that has already enabled a wide ran...
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10/17/2020
GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment
Machine learning models based on Deep Neural Networks (DNNs) are increas...
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10/14/2020
BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture
Federated Learning (FL) is a distributed, and decentralized machine lear...
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10/14/2020
Improving Accuracy of Federated Learning in Non-IID Settings
Federated Learning (FL) is a decentralized machine learning protocol tha...
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08/10/2020
Secure IoT Data Analytics in Cloud via Intel SGX
The growing adoption of IoT devices in our daily life is engendering a d...
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07/07/2020
Defending Against Backdoors in Federated Learning with Robust Learning Rate
Federated Learning (FL) allows a set of agents to collaboratively train ...
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06/19/2020
Does Explainable Artificial Intelligence Improve Human Decision-Making?
Explainable AI provides insight into the "why" for model predictions, of...
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01/13/2020
Leveraging Blockchain for Immutable Logging and Querying Across Multiple Sites
Blockchain has emerged as a decentralized and distributed framework that...
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12/20/2019
Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph
Blockchain technology and, in particular, blockchain-based cryptocurrenc...
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08/18/2019
ChainNet: Learning on Blockchain Graphs with Topological Features
With emergence of blockchain technologies and the associated cryptocurre...
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06/19/2019
BitcoinHeist: Topological Data Analysis for Ransomware Detection on the Bitcoin Blockchain
Proliferation of cryptocurrencies (e.g., Bitcoin) that allow pseudo-anon...
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06/18/2018
RIGORITYJ: Deployment-quality Detection of Java Cryptographic Vulnerabilities
Cryptographic API misuses threaten software security. Examples include e...
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06/18/2018
CHIRON: Deployment-quality Detection of Java Cryptographic Vulnerabilities
Cryptographic API misuses threaten software security. Examples include e...
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05/11/2018
Breaking Transferability of Adversarial Samples with Randomness
We investigate the role of transferability of adversarial attacks in the...
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04/27/2018
Enforceable Data Sharing Agreements Using Smart Contracts
As more and more data is collected for various reasons, the sharing of s...
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04/13/2018
Adversarial Clustering: A Grid Based Clustering Algorithm Against Active Adversaries
Nowadays more and more data are gathered for detecting and preventing cy...
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03/01/2018