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Cited By
Verifying Controllers Against Adversarial Examples with Bayesian Optimization
23 February 2018
Shromona Ghosh
Felix Berkenkamp
G. Ranade
S. Qadeer
Ashish Kapoor
AAML
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Papers citing
"Verifying Controllers Against Adversarial Examples with Bayesian Optimization"
8 / 8 papers shown
Title
Finding Needles in Haystack: Formal Generative Models for Efficient Massive Parallel Simulations
Osama Maqbool
J. Roßmann
AI4CE
28
0
0
03 Jan 2023
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization
Zahra Shahrooei
Mykel J. Kochenderfer
Ali Baheri
20
6
0
28 Dec 2022
Synthesizing Reactive Test Environments for Autonomous Systems: Testing Reach-Avoid Specifications with Multi-Commodity Flows
Apurva Badithela
Josefine B. Graebener
Wyatt Ubellacker
Eric V. Mazumdar
Aaron D. Ames
R. Murray
26
3
0
19 Oct 2022
On Safety Testing, Validation, and Characterization with Scenario-Sampling: A Case Study of Legged Robots
Bowen Weng
Guillermo A. Castillo
Wei Zhang
Ayonga Hereid
8
6
0
16 Apr 2022
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
30
65
0
26 Jul 2021
Counterexample-Guided Synthesis of Perception Models and Control
Shromona Ghosh
Yash Vardhan Pant
H. Ravanbakhsh
S. Seshia
21
14
0
04 Nov 2019
Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave
Michael Dennis
Cody Wild
Neel Kant
Sergey Levine
Stuart J. Russell
AAML
27
348
0
25 May 2019
A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation
Shouyong Jiang
Marcus Kaiser
Shengxiang Yang
Stefanos D. Kollias
N. Krasnogor
14
44
0
06 Mar 2019
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