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Adversarial frontier stitching for remote neural network watermarking

Neural computing & applications, 2020-07, Vol.32 (13), p.9233-9244

2020

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Randomized Smoothing Under Attack: How Good is it in Practice?

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.3014-3018

2022

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Second order centrality: Distributed assessment of nodes criticity in complex networks

Computer communications, 2011-04, Vol.34 (5), p.619-628

2011

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TamperNN: Efficient Tampering Detection of Deployed Neural Nets

2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE), 2019, p.424-434

2019

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SurFree: a fast surrogate-free black-box attack

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.10425-10434

2021

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FBI: Fingerprinting models with Benign Inputs

IEEE transactions on information forensics and security, 2023-08, p.1-1

2023

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Fingerprinting Classifiers With Benign Inputs

IEEE transactions on information forensics and security, 2023, Vol.18, p.5459-5472

2023

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Choosing partners based on availability in P2P networks

ACM transactions on autonomous and adaptive systems, 2012-07, Vol.7 (2), p.1-14

2012

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Availability-Based Methods for Distributed Storage Systems

2012 IEEE 31st Symposium on Reliable Distributed Systems, 2012, p.151-160

2012

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Anomaly Characterization in Large Scale Networks

2014 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014, p.68-79

2014

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Under manipulations, are some AI models harder to audit?

2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2024, p.644-664

2024

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FeGAN: Scaling Distributed GANs

Proceedings of the 21st International Middleware Conference, 2020, p.193-206

2020

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Model Fingerprinting with Benign Inputs

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Modeling rabbit-holes on YouTube

Social network analysis and mining, 2023-12, Vol.13 (1), p.100

2023

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Algorithmic audits of algorithms, and the law

Ai and ethics (Online), 2023-09, p.1-21

2023

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Distributed and Private Group Management

2012 IEEE 31st Symposium on Reliable Distributed Systems, 2012, p.191-200

2012

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MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets

2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2019, p.866-877

2019

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Setting the Record Straighter on Shadow Banning

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications, 2021, p.1-10

2021

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Application-Aware Adaptive Partitioning for Graph Processing Systems

2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), 2019, p.235-240

2019

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zoNNscan: A Boundary-Entropy Index for Zone Inspection of Neural Models

Monte Carlo Search, 2021, Vol.1379, p.31-38

2021

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RoBIC: A Benchmark Suite For Assessing Classifiers Robustness

2021 IEEE International Conference on Image Processing (ICIP), 2021, p.3612-3616

2021

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Heuristical top-k: fast estimation of centralities in complex networks

Information processing letters, 2014-08, Vol.114 (8), p.432-436

2014

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The Topological Face of Recommendation

Complex Networks & Their Applications VI, p.897-908

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Distributed deep learning on edge-devices: Feasibility via adaptive compression

2017 IEEE 16th International Symposium on Network Computing and Applications (NCA), 2017, p.1-8

2017

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Efficient User Opt-Out from Block Stores

2016 IEEE International Conference on Cloud Engineering Workshop (IC2EW), 2016, p.223-230

2016

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Adversarial frontier stitching for remote neural network watermarking

Randomized Smoothing Under Attack: How Good is it in Practice?

Second order centrality: Distributed assessment of nodes criticity in complex networks

TamperNN: Efficient Tampering Detection of Deployed Neural Nets

SurFree: a fast surrogate-free black-box attack

FBI: Fingerprinting models with Benign Inputs

Fingerprinting Classifiers With Benign Inputs

Choosing partners based on availability in P2P networks

Availability-Based Methods for Distributed Storage Systems

Anomaly Characterization in Large Scale Networks

Under manipulations, are some AI models harder to audit?

FeGAN: Scaling Distributed GANs

Model Fingerprinting with Benign Inputs

Modeling rabbit-holes on YouTube

Algorithmic audits of algorithms, and the law

Distributed and Private Group Management

MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets

Setting the Record Straighter on Shadow Banning

Application-Aware Adaptive Partitioning for Graph Processing Systems

zoNNscan: A Boundary-Entropy Index for Zone Inspection of Neural Models

RoBIC: A Benchmark Suite For Assessing Classifiers Robustness

Heuristical top-k: fast estimation of centralities in complex networks

The Topological Face of Recommendation

Distributed deep learning on edge-devices: Feasibility via adaptive compression

Efficient User Opt-Out from Block Stores

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