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02/13/2023
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects
With the widespread deployment of deep neural networks (DNNs), ensuring ...
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11/03/2022
Fairness in Federated Learning via Core-Stability
Federated learning provides an effective paradigm to jointly optimize a ...
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10/20/2022
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness
Recent studies show that training deep neural networks (DNNs) with Lipsc...
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10/04/2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
A vast literature shows that the learning-based visual perception model ...
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09/12/2022
CARE: Certifiably Robust Learning with Reasoning via Variational Inference
Despite great recent advances achieved by deep neural networks (DNNs), t...
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08/11/2022
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
Bound propagation methods, when combined with branch and bound, are amon...
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07/21/2022
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data
Federated learning (FL) provides an effective paradigm to train machine ...
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06/16/2022
Double Sampling Randomized Smoothing
Neural networks (NNs) are known to be vulnerable against adversarial per...
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06/15/2022
Can pruning improve certified robustness of neural networks?
With the rapid development of deep learning, the sizes of neural network...
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02/18/2022
SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions
Automatic machine learning, or AutoML, holds the promise of truly democr...
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02/03/2022
Certifying Out-of-Domain Generalization for Blackbox Functions
Certifying the robustness of model performance under bounded data distri...
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01/30/2022
TPC: Transformation-Specific Smoothing for Point Cloud Models
Point cloud models with neural network architectures have achieved great...
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06/17/2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
We present the first framework of Certifying Robust Policies for reinfor...
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06/10/2021
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
Boundary based blackbox attack has been recognized as practical and effe...
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04/01/2021
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness
Adversarial Transferability is an intriguing property of adversarial exa...
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02/25/2021
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks
Gradient estimation and vector space projection have been studied as two...
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12/17/2020
On the Limitations of Denoising Strategies as Adversarial Defenses
As adversarial attacks against machine learning models have raised incre...
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09/09/2020
SoK: Certified Robustness for Deep Neural Networks
Great advancement in deep neural networks (DNNs) has led to state-of-the...
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02/27/2020
Provable Robust Learning Based on Transformation-Specific Smoothing
As machine learning systems become pervasive, safeguarding their securit...
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02/11/2018
Influence-Directed Explanations for Deep Convolutional Networks
We study the problem of explaining a rich class of behavioral properties...
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09/27/2017
