Adversarial system

Humanities
Law
Legal systems
Common law

Related publications (14)

About
Privacy
Disclaimer

Graph Chatbot

Robust Adaptive Decision Making: Bayesian Optimization and Beyond

Ilija Bogunovic

The central task in many interactive machine learning systems can be formalized as the sequential optimization of a black-box function. Bayesian optimization (BO) is a powerful model-based framework for \emph{adaptive} experimentation, where the primary go ...

EPFL2019

SGAN: An Alternative Training of Generative Adversarial Networks

François Fleuret, Tatjana Chavdarova

The Generative Adversarial Networks (GANs) have demonstrated impressive performance for data synthesis, and are now used in a wide range of computer vision tasks. In spite of this success, they gained a reputation for being difficult to train, what results ...

IEEE2018

On the Security of HB# against a Man-in-the-Middle Attack

Serge Vaudenay, Khaled Ouafi

At EuroCrypt ’08, Gilbert, Robshaw and Seurin proposed HB# to improve on HB+ in terms of transmission cost and security against man-in-the-middle attacks. Although the security of HB# is formally proven against a certain class of man- in-the-middle adversa ...

Springer2008

Secretive Birds: Privacy in Population Protocols

Rachid Guerraoui, Eric Ruppert

We study private computations in a system of tiny mobile agents. We consider the mobile population protocol model of Angluin et al. [2] and ask what can be computed without ever revealing any input to a curious adversary. We show that any computable predic ...

2007

Page 2 of 2