activity
20182023
most citedStructured Adversarial Attack: Towards General Implementation and Better Interpretability

114 citations · 848 across the 42 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

eess.SY2022

Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet

Kaidi Xu, Nguyen Van Huynh, Geoffrey Ye Li

In heterogeneous networks (HetNets), the overlap of small cells and the macro cell causes severe cross-tier interference. Although there exist some approaches to address this probl…

cs.IT2022

Secrecy Rate Maximization of RIS-assisted SWIPT Systems: A Two-Timescale Beamforming Design Approach

Ming-Min Zhao, Kaidi Xu, Yunlong Cai +2

Reconfigurable intelligent surfaces (RISs) achieve high passive beamforming gains for signal enhancement or interference nulling by dynamically adjusting their reflection coefficie…

cs.LG2022

Audit and Improve Robustness of Private Neural Networks on Encrypted Data

Jiaqi Xue, Lei Xu, Lin Chen +3

Performing neural network inference on encrypted data without decryption is one popular method to enable privacy-preserving neural networks (PNet) as a service. Compared with regul…

cs.CV2022★ 2 cited

Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks

Husheng Han, Xing Hu, Kaidi Xu +7

DNN-based video object detection (VOD) powers autonomous driving and video surveillance industries with rising importance and promising opportunities. However, adversarial patch at…

cs.LG2022★ 33 cited

General Cutting Planes for Bound-Propagation-Based Neural Network Verification

Huan Zhang, Shiqi Wang, Kaidi Xu +5

Bound propagation methods, when combined with branch and bound, are among the most effective methods to formally verify properties of deep neural networks such as correctness, robu…

cs.NE2022★ 8 cited

Toward Robust Spiking Neural Network Against Adversarial Perturbation

Ling Liang, Kaidi Xu, Xing Hu +2

As spiking neural networks (SNNs) are deployed increasingly in real-world efficiency critical applications, the security concerns in SNNs attract more attention. Currently, researc…