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05/26/2023
HowkGPT: Investigating the Detection of ChatGPT-generated University Student Homework through Context-Aware Perplexity Analysis
As the use of Large Language Models (LLMs) in text generation tasks prol...
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05/07/2023
Perception, performance, and detectability of conversational artificial intelligence across 32 university courses
The emergence of large language models has led to the development of pow...
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04/20/2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning
Federated Learning (FL) enables collaborative deep learning training acr...
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04/11/2023
TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation
Secure computation is of critical importance to not only the DoD, but ac...
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03/30/2023
RPU: The Ring Processing Unit
Ring-Learning-with-Errors (RLWE) has emerged as the foundation of many i...
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03/27/2023
Privacy-preserving machine learning for healthcare: open challenges and future perspectives
Machine Learning (ML) has recently shown tremendous success in modeling ...
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03/24/2023
Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems
Deep Reinforcement Learning (DRL) enhances the efficiency of Autonomous ...
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12/08/2022
ICSPatch: Automated Vulnerability Localization and Non-Intrusive Hotpatching in Industrial Control Systems using Data Dependence Graphs
The paradigm shift of enabling extensive intercommunication between the ...
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05/26/2022
PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations
Federated Learning (FL) enables numerous participants to train deep lear...
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04/28/2022
FieldFuzz: Enabling vulnerability discovery in Industrial Control Systems supply chain using stateful system-level fuzzing
With the advent of the fourth industrial revolution, Programmable Logic ...
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04/26/2022
Accelerating Fully Homomorphic Encryption by Bridging Modular and Bit-Level Arithmetic
The dramatic increase of data breaches in modern computing platforms has...
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04/19/2022
CoFHEE: A Co-processor for Fully Homomorphic Encryption Execution
The migration of computation to the cloud has raised privacy concerns as...
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04/12/2022
Scalable privacy-preserving cancer type prediction with homomorphic encryption
Machine Learning (ML) alleviates the challenges of high-dimensional data...
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03/17/2022
PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks
Backdoor attacks impose a new threat in Deep Neural Networks (DNNs), whe...
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02/21/2022
ICSML: Industrial Control Systems Machine Learning inference framework natively executing on IEC 61131-3 languages
Industrial Control Systems (ICS) have played a catalytic role in enablin...
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08/14/2021
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis
Machine Learning (ML) has achieved unprecedented performance in several ...
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12/30/2020
Explainability Matters: Backdoor Attacks on Medical Imaging
Deep neural networks have been shown to be vulnerable to backdoor attack...
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06/20/2020
FaceHack: Triggering backdoored facial recognition systems using facial characteristics
Recent advances in Machine Learning (ML) have opened up new avenues for ...
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03/17/2020
Watch your back: Backdoor Attacks in Deep Reinforcement Learning-based Autonomous Vehicle Control Systems
Autonomous Vehicles (AVs) with Deep Reinforcement Learning (DRL)-based c...
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12/09/2018
