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05/10/2023
Securing Distributed SGD against Gradient Leakage Threats
This paper presents a holistic approach to gradient leakage resilient di...
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03/21/2023
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection
Federated Learning (FL) has been gaining popularity as a collaborative l...
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01/15/2023
EENet: Learning to Early Exit for Adaptive Inference
Budgeted adaptive inference with early exits is an emerging technique to...
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10/20/2020
Promoting High Diversity Ensemble Learning with EnsembleBench
Ensemble learning is gaining renewed interests in recent years. This pap...
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07/11/2020
Understanding Object Detection Through An Adversarial Lens
Deep neural networks based object detection models have revolutionized c...
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06/05/2020
LDP-Fed: Federated Learning with Local Differential Privacy
This paper presents LDP-Fed, a novel federated learning system with a fo...
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04/22/2020
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
Federated learning (FL) is an emerging distributed machine learning fram...
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04/09/2020
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems
The rapid growth of real-time huge data capturing has pushed the deep le...
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10/01/2019
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples
Deep neural network (DNN) has demonstrated its success in multiple domai...
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08/29/2019
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness
Ensemble learning is a methodology that integrates multiple DNN learners...
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08/21/2019
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Deep neural networks (DNNs) have demonstrated impressive performance on ...
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08/18/2019
Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks
Learning Rate (LR) is an important hyper-parameter to tune for effective...
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01/18/2019
DA-LSTM: A Long Short-Term Memory with Depth Adaptive to Non-uniform Information Flow in Sequential Data
Much sequential data exhibits highly non-uniform information distributio...
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11/20/2018
