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01/10/2023
Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting
Blockchain smart contracts have given rise to a variety of interesting a...
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12/27/2022
EDoG: Adversarial Edge Detection For Graph Neural Networks
Graph Neural Networks (GNNs) have been widely applied to different tasks...
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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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07/21/2022
UniFed: A Benchmark for Federated Learning Frameworks
Federated Learning (FL) has become a practical and popular paradigm in m...
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02/03/2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization
Machine learning (ML) robustness and domain generalization are fundament...
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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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05/28/2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack
Machine learning (ML), especially deep neural networks (DNNs) have been ...
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03/19/2020
RAB: Provable Robustness Against Backdoor Attacks
Recent studies have shown that deep neural networks (DNNs) are vulnerabl...
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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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10/08/2019
Detecting AI Trojans Using Meta Neural Analysis
Machine learning models, especially neural networks (NNs), have achieved...
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04/07/2018
A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks
Malicious calls, i.e., telephony spams and scams, have been a long-stand...
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11/30/2017
A Neural Stochastic Volatility Model
In this paper, we show that the recent integration of statistical models...
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11/13/2017
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning
Synthesizing SQL queries from natural language is a long-standing open p...
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09/25/2017
Can you fool AI with adversarial examples on a visual Turing test?
Deep learning has achieved impressive results in many areas of Computer ...
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08/22/2017