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07/19/2023
Modeling Rabbit-Holes on YouTube
Numerous discussions have advocated the presence of a so called rabbit-h...
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05/23/2023
On the relevance of APIs facing fairwashed audits
Recent legislation required AI platforms to provide APIs for regulators ...
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08/05/2022
FBI: Fingerprinting models with Benign Inputs
Recent advances in the fingerprinting of deep neural networks detect ins...
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04/28/2022
Randomized Smoothing under Attack: How Good is it in Pratice?
Randomized smoothing is a recent and celebrated solution to certify the ...
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02/15/2022
Algorithmic audits of algorithms, and the law
Algorithmic decision making is now widespread, ranging from health care ...
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02/10/2021
RoBIC: A benchmark suite for assessing classifiers robustness
Many defenses have emerged with the development of adversarial attacks. ...
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12/09/2020
Setting the Record Straighter on Shadow Banning
Shadow banning consists for an online social network in limiting the vis...
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11/25/2020
SurFree: a fast surrogate-free black-box attack
Machine learning classifiers are critically prone to evasion attacks. Ad...
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10/03/2019
The Bouncer Problem: Challenges to Remote Explainability
The concept of explainability is envisioned to satisfy society's demands...
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03/01/2019
TamperNN: Efficient Tampering Detection of Deployed Neural Nets
Neural networks are powering the deployment of embedded devices and Inte...
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11/09/2018
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets
A recent technical breakthrough in the domain of machine learning is the...
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08/21/2018
zoNNscan : a boundary-entropy index for zone inspection of neural models
The training of deep neural network classifiers results in decision boun...
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11/16/2017
Sequences, Items And Latent Links: Recommendation With Consumed Item Packs
Recommenders personalize the web content by typically using collaborativ...
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11/06/2017