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Bo Li
461 publications
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360 publications
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231 publications
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146 publications
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133 publications
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130 publications
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Le Song
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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...

0 Zhenguang Liu, et al. ∙

∙ 12/27/2022

EDoG: Adversarial Edge Detection For Graph Neural Networks

Graph Neural Networks (GNNs) have been widely applied to different tasks...

0 Xiaojun Xu, et al. ∙

∙ 10/20/2022

LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness

Recent studies show that training deep neural networks (DNNs) with Lipsc...

0 Xiaojun Xu, et al. ∙

∙ 07/21/2022

UniFed: A Benchmark for Federated Learning Frameworks

Federated Learning (FL) has become a practical and popular paradigm in m...

11 Xiaoyuan Liu, et al. ∙

∙ 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...

0 Xiaojun Xu, et al. ∙

∙ 04/01/2021

TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness

Adversarial Transferability is an intriguing property of adversarial exa...

0 Zhuolin Yang, et al. ∙

∙ 02/25/2021

Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks

Gradient estimation and vector space projection have been studied as two...

8 Huichen Li, et al. ∙

∙ 05/28/2020

QEBA: Query-Efficient Boundary-Based Blackbox Attack

Machine learning (ML), especially deep neural networks (DNNs) have been ...

0 Huichen Li, et al. ∙

∙ 03/19/2020

RAB: Provable Robustness Against Backdoor Attacks

Recent studies have shown that deep neural networks (DNNs) are vulnerabl...

4 Maurice Weber, et al. ∙

∙ 02/27/2020

Provable Robust Learning Based on Transformation-Specific Smoothing

As machine learning systems become pervasive, safeguarding their securit...

6 Linyi Li, et al. ∙

∙ 10/08/2019

Detecting AI Trojans Using Meta Neural Analysis

Machine learning models, especially neural networks (NNs), have achieved...

27 Xiaojun Xu, et al. ∙

∙ 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...

0 Huichen Li, et al. ∙

∙ 11/30/2017

A Neural Stochastic Volatility Model

In this paper, we show that the recent integration of statistical models...

0 Rui Luo, et al. ∙

∙ 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...

0 Xiaojun Xu, et al. ∙

∙ 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 ...

0 Xiaojun Xu, et al. ∙

∙ 08/22/2017

Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection

The problem of cross-platform binary code similarity detection aims at d...

0 Xiaojun Xu, et al. ∙

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