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07/24/2023
PUMA: Secure Inference of LLaMA-7B in Five Minutes
With ChatGPT as a representative, tons of companies have began to provid...
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05/20/2023
Human labeling errors and their impact on ConvNets for satellite image scene classification
Convolutional neural networks (ConvNets) have been successfully applied ...
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04/09/2023
ODDFUZZ: Discovering Java Deserialization Vulnerabilities via Structure-Aware Directed Greybox Fuzzing
Java deserialization vulnerability is a severe threat in practice. Resea...
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02/27/2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Bit-flip attacks (BFAs) have attracted substantial attention recently, i...
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03/03/2022
Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models
Prioritizing fairness is of central importance in artificial intelligenc...
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01/20/2021
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
The task of classifying mammograms is very challenging because the lesio...
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11/18/2020
Privacy Leakage of Real-World Vertical Federated Learning
Federated learning enables mutually distrusting participants to collabor...
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06/19/2019
Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield
Many recent works demonstrated that Deep Learning models are vulnerable ...
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05/27/2019
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking
Recent work in adversarial machine learning started to focus on the visu...
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05/08/2019
Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction
Neural networks are known to be vulnerable to carefully crafted adversar...
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07/17/2017
Downgrade Attack on TrustZone
Security-critical tasks require proper isolation from untrusted software...
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01/12/2017
Modularized Morphing of Neural Networks
In this work we study the problem of network morphism, an effective lear...
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03/05/2016