ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.10735
  4. Cited By
CAMUS: A Framework to Build Formal Specifications for Deep Perception
  Systems Using Simulators

CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators

25 November 2019
Julien Girard-Satabin
Guillaume Charpiat
Zakaria Chihani
Marc Schoenauer
    OOD
    AAML
ArXivPDFHTML

Papers citing "CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators"

4 / 4 papers shown
Title
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
279
10,348
0
12 Dec 2018
CNN-Cert: An Efficient Framework for Certifying Robustness of
  Convolutional Neural Networks
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
Akhilan Boopathy
Tsui-Wei Weng
Pin-Yu Chen
Sijia Liu
Luca Daniel
AAML
105
138
0
29 Nov 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
226
1,835
0
03 Feb 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
1