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06/02/2023
Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion Attacks
In the seller-buyer setting on machine learning models, the seller gener...
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05/14/2023
Watermarking Text Generated by Black-Box Language Models
LLMs now exhibit human-like skills in various fields, leading to worries...
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05/13/2023
Mask to reconstruct: Cooperative Semantics Completion for Video-text Retrieval
Recently, masked video modeling has been widely explored and significant...
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05/10/2023
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation
Given a poorly documented neural network model, we take the perspective ...
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02/26/2023
Multi-objective Generative Design of Three-Dimensional Composite Materials
Composite materials with 3D architectures are desirable in a variety of ...
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02/05/2023
OAcode: Overall Aesthetic 2D Barcode on Screen
Nowadays, two-dimensional (2D) barcodes have been widely used in various...
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02/04/2023
Representation Deficiency in Masked Language Modeling
Masked Language Modeling (MLM) has been one of the most prominent approa...
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12/31/2022
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence
Deep neural networks are vulnerable to adversarial attacks. In this pape...
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12/05/2022
DeAR: A Deep-learning-based Audio Re-recording Resilient Watermarking
Audio watermarking is widely used for leaking source tracing. The robust...
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11/04/2022
Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler
Active learning with strong and weak labelers considers a practical sett...
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06/27/2022
De-END: Decoder-driven Watermarking Network
With recent advances in machine learning, researchers are now able to so...
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06/02/2022
BayesFormer: Transformer with Uncertainty Estimation
Transformer has become ubiquitous due to its dominant performance in var...
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04/25/2022
Go Wide or Go Deep: Levering Watermarking Performance with Computational Cost for Specific Images
Digital watermarking has been widely studied for the protection of intel...
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01/13/2022
Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks
Class imbalance occurs in many real-world applications, including image ...
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12/07/2021
Reducing Target Group Bias in Hate Speech Detectors
The ubiquity of offensive and hateful content on online fora necessitate...
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10/19/2021
Speech Pattern based Black-box Model Watermarking for Automatic Speech Recognition
As an effective method for intellectual property (IP) protection, model ...
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09/15/2021
Deep 3D Mesh Watermarking with Self-Adaptive Robustness
Robust 3D mesh watermarking is a traditional research topic in computer ...
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09/13/2021
MLFW: A Database for Face Recognition on Masked Faces
As more and more people begin to wear masks due to current COVID-19 pand...
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08/18/2021
MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression
Based on the powerful feature extraction ability of deep learning archit...
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08/05/2021
Exploring Structure Consistency for Deep Model Watermarking
The intellectual property (IP) of Deep neural networks (DNNs) can be eas...
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06/21/2021
CLIP2Video: Mastering Video-Text Retrieval via Image CLIP
We present CLIP2Video network to transfer the image-language pre-trainin...
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04/29/2021
Entailment as Few-Shot Learner
Large pre-trained language models (LMs) have demonstrated remarkable abi...
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04/15/2021
Micro-Estimates of Wealth for all Low- and Middle-Income Countries
Many critical policy decisions, from strategic investments to the alloca...
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07/20/2020
Local Geometric Distortions Resilient Watermarking Scheme Based on Symmetry
As an efficient watermark attack method, geometric distortions destroy t...
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06/08/2020
Linformer: Self-Attention with Linear Complexity
Large transformer models have shown extraordinary success in achieving s...
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02/25/2020
Model Watermarking for Image Processing Networks
Deep learning has achieved tremendous success in numerous industrial app...
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12/25/2018
