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09/06/2023
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning
Data is a critical asset in AI, as high-quality datasets can significant...
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04/28/2023
Deep Intellectual Property: A Survey
With the widespread application in industrial manufacturing and commerci...
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03/23/2023
Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models
Recently, face swapping has been developing rapidly and achieved a surpr...
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02/12/2023
TextDefense: Adversarial Text Detection based on Word Importance Entropy
Currently, natural language processing (NLP) models are wildly used in v...
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12/01/2022
All You Need Is Hashing: Defending Against Data Reconstruction Attack in Vertical Federated Learning
Vertical federated learning is a trending solution for multi-party colla...
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10/21/2022
Neural Architectural Backdoors
This paper asks the intriguing question: is it possible to exploit neura...
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10/13/2022
Demystifying Self-supervised Trojan Attacks
As an emerging machine learning paradigm, self-supervised learning (SSL)...
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12/10/2021
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models
Deep learning (DL) models, especially those large-scale and high-perform...
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11/05/2019
The Tale of Evil Twins: Adversarial Inputs versus Backdoored Models
Despite their tremendous success in a wide range of applications, deep n...
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12/03/2018
Interpretable Deep Learning under Fire
Providing explanations for complicated deep neural network (DNN) models ...
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08/05/2018
