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Found 16 papers, 6 papers with code
Blind quantum computation for QFT on multi-qubit states
If a client wants to perform quantum computing but she does not have quantum computers with relevant quantum technologies.
Quantum Physics
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks
However, the DL models may be prone to the membership inference attack, where an attacker determines whether a given sample is from the training dataset.
RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network
Generative adversarial network (GAN) has attracted increasing attention recently owing to its impressive ability to generate realistic samples with high privacy protection.
UNIT: Unifying Tensorized Instruction Compilation
However, it is hard to leverage mixed precision without hardware support because of the overhead of data casting.
US-Rule: Discovering Utility-driven Sequential Rules
High utility sequential pattern mining (HUSPM) is one kind of utility-driven mining.
URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement
Retinex model-based methods have shown to be effective in layer-wise manipulation with well-designed priors for low-light image enhancement.
pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing
First, a CNN model to be tested is strategically partitioned into a private part kept locally by the model developer, and a public part outsourced to an outside server.
A Robust Document Image Watermarking Scheme using Deep Neural Network
Then the identity can be extracted to prove the copyright from the watermarked carrier even after suffering various attacks.
A Screen-Shooting Resilient Document Image Watermarking Scheme using Deep Neural Network
By applying this scheme, when the watermarked image is displayed on the screen and captured by a camera, the watermark can be still extracted from the captured photographs.
Deniable Steganography
With a stego media discovered, the adversary could find out the sender or receiver and coerce them to disclose the secret message, which we name as coercive attack in this paper.
Towards Target Sequential Rules
In this paper, we provide the relevant definitions of target sequential rule and formulate the problem of targeted sequential rule mining.
Learning Second Order Local Anomaly for General Face Forgery Detection
We also propose a Local Enhancement Module (LEM) to improve the discrimination between local features of real and forged regions, so as to ensure accuracy in calculating anomalies.
Enhancing Deep Knowledge Tracing with Auxiliary Tasks
In this paper, we proposed \emph{AT-DKT} to improve the prediction performance of the original deep knowledge tracing model with two auxiliary learning tasks, i. e., \emph{question tagging (QT) prediction task} and \emph{individualized prior knowledge (IK) prediction task}.
A Survey of Secure Computation Using Trusted Execution Environments
To the best of our knowledge, this article is the first survey to review TEE-based secure computation protocols and the comprehensive comparison can serve as a guideline for selecting suitable protocols for deployment in practice.
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems
Intelligent transportation systems (ITSs) have been fueled by the rapid development of communication technologies, sensor technologies, and the Internet of Things (IoT).
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
Developing robust and interpretable vision systems is a crucial step towards trustworthy artificial intelligence.
