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Sissi Xiaoxiao Wu

8 accepted papers

2025

Compressing a Flow-Based Privacy Protection Model via a Novel Joint Distilling and Pruning Method

ICASSP 2025accepted

While reversible anonymization techniques have been shown to be effective in protecting facial information, most of these methods rely on large reversible generative models that are only suitable for running on cloud servers, which poses a huge challenge to placing such privacy-preserving models on…

Cited by 0SourceScholar
2020

Detect Insider Attacks Using CNN in Decentralized Optimization

ICASSP 2020accepted

This paper studies the security issue of a gossip-based distributed projected gradient (DPG) algorithm, when it is applied for solving a decentralized multi-agent optimization. It is known that the gossip-based DPG algorithm is vulnerable to insider attacks because each agent locally estimates its (…

Cited by 0SourceScholar
2018

Data Injection Attack on Decentralized Optimization

ICASSP 2018accepted

This paper studies the security aspect of gossip-based decentralized optimization algorithms for multi agent systems against data injection attacks. Our contributions are two-fold. First, we show that the popular distributed projected gradient method (by Nedić et al.) can be attacked by <i xmlns:mml…

Cited by 0SourceScholar
2017

SDR approximation bounds for the robust multicast beamforming problem with interference temperature constraints

ICASSP 2017accepted

In this work, we consider the robust beamforming design for secondary downlink multicasting channels, where primary users are present with norm-bounded channel errors. In particular, the max-min-fair formulation is considered and the resulting design problem is a quadratically constrained quadratic…

Cited by 0SourceScholar
2017

The Power-Oja method for decentralized subspace estimation/tracking

ICASSP 2017accepted

This work proposes a decentralized and adaptive subspace estimation method, called the Power-Oja (P-Oja) method. Existing decentralized subspace tracking algorithms have slow convergence rate or are unable to adapt to time varying statistics. To resolve these issues, the P-Oja method is developed by…

Cited by 0SourceScholar
2016

A polynomial optimization approach for robust beamforming design in a device-to-device two-hop one-way relay network

ICASSP 2016accepted

In this paper, we consider the robust beamforming design in a device-to-device (D2D) two-hop one-way relay network. Specifically, we study the amplify-and-forward (AF) scheme in the scenario where both the transmitter-to-relays link and relays-to-receiver link are subject to estimation errors. Assum…

Cited by 0SourceScholar
2015

A beamformed alamouti amplify-and-forward scheme in multigroup multicast cloud-relay networks

ICASSP 2015accepted

In this paper, we consider a cloud relay network (C-RN) which provides reliable communication between long-distance users. Specifically, we study the amplify-and-forward (AF) schemes in C-RNs. In our scenario setting, with the cloud processor units fully coordinating in the network, the C-RN can be…

Cited by 0SourceScholar