Siyuan Liang | DeepAI

DeepAI AI Chat

Featured Co-authors

Dacheng Tao
495 publications
Jun Zhu
239 publications
Xin Chen
162 publications
Hao Wu
145 publications
Hongyuan Zha
98 publications
Cong Liu
76 publications
Xiaochun Cao
72 publications
Baoyuan Wu
67 publications
Jun Guo
61 publications
Xianglong Liu
59 publications
Xingxing Wei
39 publications

∙ 08/02/2023

Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks

Despite the broad application of Machine Learning models as a Service (M...

0 Jun Guo, et al. ∙

∙ 04/20/2023

Diversifying the High-level Features for better Adversarial Transferability

Given the great threat of adversarial attacks against Deep Neural Networ...

0 Zhiyuan Wang, et al. ∙

∙ 02/19/2023

X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection

Adversarial attacks are valuable for evaluating the robustness of deep l...

0 Aishan Liu, et al. ∙

∙ 10/31/2022

Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning

The permutation flow shop scheduling (PFSS), aiming at finding the optim...

0 Longkang Li, et al. ∙

∙ 10/26/2022

SimpleDG: Simple Domain Generalization Baseline without Bells and Whistles

We present a simple domain generalization baseline, which wins second pl...

0 Zhi Lv, et al. ∙

∙ 09/28/2022

Exploring the Relationship between Architecture and Adversarially Robust Generalization

Adversarial training has been demonstrated to be one of the most effecti...

0 Shiyu Tang, et al. ∙

∙ 09/20/2022

Rethinking Data Augmentation in Knowledge Distillation for Object Detection

Knowledge distillation (KD) has shown its effectiveness for object detec...

0 Jiawei Liang, et al. ∙

∙ 09/16/2022

A Large-scale Multiple-objective Method for Black-box Attack against Object Detection

Recent studies have shown that detectors based on deep models are vulner...

0 Siyuan Liang, et al. ∙

∙ 09/15/2022

Improving Robust Fairness via Balance Adversarial Training

Adversarial training (AT) methods are effective against adversarial atta...

0 Chunyu Sun, et al. ∙

∙ 09/12/2022

Adaptive Perturbation Generation for Multiple Backdoors Detection

Extensive evidence has demonstrated that deep neural networks (DNNs) are...

0 Yuhang Wang, et al. ∙

∙ 05/30/2022

Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles

Driven by the ever-increasing requirements of autonomous vehicles, such ...

0 Siyuan Liang, et al. ∙

∙ 01/23/2022

Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network

Transient stability prediction is critically essential to the fast onlin...

0 Peiyuan Sun, et al. ∙

∙ 01/22/2022

Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection

Object detection has been widely used in many safety-critical tasks, suc...

0 Siyuan Liang, et al. ∙

∙ 08/01/2020

Efficient Adversarial Attacks for Visual Object Tracking

Visual object tracking is an important task that requires the tracker to...

0 Siyuan Liang, et al. ∙

∙ 11/30/2018

Transferable Adversarial Attacks for Image and Video Object Detection

Adversarial examples have been demonstrated to threaten many computer vi...

8 Xingxing Wei, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world