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08/16/2023
DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
Controllable video generation has gained significant attention in recent...
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02/18/2023
Differential Aggregation against General Colluding Attackers
Local Differential Privacy (LDP) is now widely adopted in large-scale sy...
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06/01/2022
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder
Recently most successful image synthesis models are multi stage process ...
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04/20/2022
Causality-based Neural Network Repair
Neural networks have had discernible achievements in a wide range of app...
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12/29/2021
Repairing Adversarial Texts through Perturbation
It is known that neural networks are subject to attacks through adversar...
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11/05/2021
A Unified Game-Theoretic Interpretation of Adversarial Robustness
This paper provides a unified view to explain different adversarial atta...
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04/13/2021
Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack
Model extraction increasingly attracts research attentions as keeping co...
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04/12/2021
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance
Gradient-based attribution methods can aid in the understanding of convo...
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03/12/2021
Game-theoretic Understanding of Adversarially Learned Features
This paper aims to understand adversarial attacks and defense from a new...
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03/11/2021
DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction
Deep learning has shown impressive performance on challenging perceptual...
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02/23/2021
Rethinking Natural Adversarial Examples for Classification Models
Recently, it was found that many real-world examples without intentional...
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11/13/2020
Power System Event Identification based on Deep Neural Network with Information Loading
Online power system event identification and classification is crucial t...
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09/28/2020
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence
This paper aims to provide a thorough study on the effectiveness of the ...
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02/15/2019
