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08/12/2023
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services
Deploying high-performance convolutional neural network (CNN) models on ...
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03/16/2023
Among Us: Adversarially Robust Collaborative Perception by Consensus
Multiple robots could perceive a scene (e.g., detect objects) collaborat...
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02/15/2023
TFormer: A Transmission-Friendly ViT Model for IoT Devices
Deploying high-performance vision transformer (ViT) models on ubiquitous...
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07/20/2022
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device
Deploying deep convolutional neural network (CNN) models on ubiquitous I...
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08/18/2021
Adversarial Relighting against Face Recognition
Deep face recognition (FR) has achieved significantly high accuracy on s...
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03/29/2021
Fooling LiDAR Perception via Adversarial Trajectory Perturbation
LiDAR point clouds collected from a moving vehicle are functions of its ...
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09/21/2020
DeepTag: Robust Image Tagging for DeepFake Provenance
In recent years, DeepFake is becoming a common threat to our society, du...
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09/19/2020
Making Images Undiscoverable from Co-Saliency Detection
In recent years, co-saliency object detection (CoSOD) has achieved signi...
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09/19/2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition
The chest X-ray plays a key role in screening and diagnosis of many lung...
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09/19/2020
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining
Single-image deraining is rather challenging due to the unknown rain mod...
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09/19/2020
Adversarial Exposure Attack on Diabetic Retinopathy Imagery
Diabetic retinopathy (DR) is a leading cause of vision loss in the world...
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09/19/2020
FakeRetouch: Evading DeepFakes Detection via the Guidance of Deliberate Noise
The novelty and creativity of DeepFake generation techniques have attrac...
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09/19/2020
It's Raining Cats or Dogs? Adversarial Rain Attack on DNN Perception
Rain is a common phenomenon in nature and an essential factor for many d...
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07/14/2020
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack
Image denoising techniques have been widely employed in multimedia devic...
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07/02/2020
Generating Adversarial Examples withControllable Non-transferability
Adversarial attacks against Deep Neural Networks have been widely studie...
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06/13/2020
DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms
As the GAN-based face image and video generation techniques, widely know...
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06/13/2020
FakePolisher: Making DeepFakes More Detection-Evasive by Shallow Reconstruction
The recently rapid advances of generative adversarial networks (GANs) in...
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05/28/2020
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices
With the recent advances in voice synthesis, AI-synthesized fake voices ...
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02/10/2020
ABBA: Saliency-Regularized Motion-Based Adversarial Blur Attack
Deep neural networks are vulnerable to noise-based adversarial examples,...
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01/27/2020
FakeLocator: Robust Localization of GAN-Based Face Manipulations via Semantic Segmentation Networks with Bells and Whistles
Nowadays, full face synthesis and partial face manipulation by virtue of...
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12/09/2019
Amora: Black-box Adversarial Morphing Attack
Nowadays, digital facial content manipulation has become ubiquitous and ...
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09/13/2019
FakeSpotter: A Simple Baseline for Spotting AI-Synthesized Fake Faces
In recent years, we have witnessed the unprecedented success of generati...
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12/19/2018
RankGAN: A Maximum Margin Ranking GAN for Generating Faces
We present a new stage-wise learning paradigm for training generative ad...
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10/10/2018
Secure Deep Learning Engineering: A Software Quality Assurance Perspective
Over the past decades, deep learning (DL) systems have achieved tremendo...
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09/07/2018
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer
Deep neural networks (DNN), while becoming the driving force of many nov...
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09/04/2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing
In company with the data explosion over the past decade, deep neural net...
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09/04/2018
Coverage-Guided Fuzzing for Deep Neural Networks
In company with the data explosion over the past decade, deep neural net...
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06/05/2018
Perturbative Neural Networks
Convolutional neural networks are witnessing wide adoption in computer v...
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05/14/2018
DeepMutation: Mutation Testing of Deep Learning Systems
Deep learning (DL) defines a new data-driven programming paradigm where ...
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03/20/2018
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
Deep learning defines a new data-driven programming paradigm that constr...
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03/20/2018
DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems
Deep learning defines a new data-driven programming paradigm that constr...
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08/22/2016