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Found 13 papers, 8 papers with code
Progressive Poisoned Data Isolation for Training-time Backdoor Defense
Extensive experiments on multiple benchmark datasets and DNN models, assessed against nine state-of-the-art backdoor attacks, demonstrate the superior performance of our PIPD method for backdoor defense.
Generating Robust Adversarial Examples against Online Social Networks (OSNs)
In this work, we aim to design a new framework for generating robust AEs that can survive the OSN transmission; namely, the AEs before and after the OSN transmission both possess strong attack capabilities.
Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering
To resolve this dilemma, we propose the FOrensic ContrAstive cLustering (FOCAL) method, a novel, simple yet very effective paradigm based on contrastive learning and unsupervised clustering for the image forgery detection.
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning
In this work, we propose a simple yet very effective synthetic image detection method via a language-guided contrastive learning and a new formulation of the detection problem.
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
The challenge is composed of two tracks with an emphasis on fidelity and complexity constraints: In Track 1, participants are asked to optimize objective fidelity scores while imposing a low-complexity constraint (i. e. solutions can not exceed a given number of operations).
Robust Image Forgery Detection Over Online Social Network Shared Images
To fight against the OSN-shared forgeries, in this work, a novel robust training scheme is proposed.
GIID-Net: Generalizable Image Inpainting Detection via Neural Architecture Search and Attention
The proposed GIID-Net consists of three sub-blocks: the enhancement block, the extraction block and the decision block.
Privacy Leakage of SIFT Features via Deep Generative Model based Image Reconstruction
It is shown that, if the adversary can only have access to the SIFT descriptors while not their coordinates, then the modest success of reconstructing the latent image can be achieved for highly-structured images (e. g., faces) and would fail in general settings.
Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention
Deep learning (DL) has demonstrated its powerful capabilities in the field of image inpainting.
Mask Detection and Breath Monitoring from Speech: on Data Augmentation, Feature Representation and Modeling
This paper introduces our approaches for the Mask and Breathing Sub-Challenge in the Interspeech COMPARE Challenge 2020.
Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection
In this paper, we propose a deep convolutional neural network-based acoustic word embedding system on code-switching query by example spoken term detection.
Domain Aware Training for Far-field Small-footprint Keyword Spotting
In this paper, we focus on the task of small-footprint keyword spotting under the far-field scenario.
The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion
This paper describes our DKU replay detection system for the ASVspoof 2019 challenge.
