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Neural Network Repair with Reachability Analysis

Neural Network Repair with Reachability Analysis

9 August 2021
Xiaodong Yang
Tomochika Yamaguchi
Hoang-Dung Tran
Bardh Hoxha
Taylor T. Johnson
Danil Prokhorov
    AAML
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Papers citing "Neural Network Repair with Reachability Analysis"

14 / 14 papers shown
Title
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis
Long Kiu Chung
Shreyas Kousik
255
0
0
22 Jan 2025
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path
  Forward
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward
Xuan Xie
Jiayang Song
Zhehua Zhou
Yuheng Huang
Da Song
Lei Ma
OffRL
53
6
0
12 Apr 2024
DelBugV: Delta-Debugging Neural Network Verifiers
DelBugV: Delta-Debugging Neural Network Verifiers
R. Elsaleh
Guy Katz
40
1
0
29 May 2023
Reachability Analysis of Neural Networks with Uncertain Parameters
Reachability Analysis of Neural Networks with Uncertain Parameters
Pierre-Jean Meyer
18
0
0
14 Mar 2023
Safe Robot Learning in Assistive Devices through Neural Network Repair
Safe Robot Learning in Assistive Devices through Neural Network Repair
K. Majd
Geoffrey Clark
Tanmay Khandait
Siyu Zhou
S. Sankaranarayanan
Georgios Fainekos
H. B. Amor
27
1
0
08 Mar 2023
Backdoor Mitigation in Deep Neural Networks via Strategic Retraining
Backdoor Mitigation in Deep Neural Networks via Strategic Retraining
Akshay Dhonthi
E. M. Hahn
Vahid Hashemi
AAML
30
2
0
14 Dec 2022
Verification-Aided Deep Ensemble Selection
Verification-Aided Deep Ensemble Selection
Guy Amir
Tom Zelazny
Guy Katz
Michael Schapira
AAML
30
18
0
08 Feb 2022
Ensuring DNN Solution Feasibility for Optimization Problems with Convex
  Constraints and Its Application to DC Optimal Power Flow Problems
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems
Tianyu Zhao
Xiang Pan
Minghua Chen
S. Low
27
10
0
15 Dec 2021
Minimal Multi-Layer Modifications of Deep Neural Networks
Minimal Multi-Layer Modifications of Deep Neural Networks
Idan Refaeli
Guy Katz
KELM
AAML
35
15
0
18 Oct 2021
Failing with Grace: Learning Neural Network Controllers that are
  Boundedly Unsafe
Failing with Grace: Learning Neural Network Controllers that are Boundedly Unsafe
Panagiotis Vlantis
Leila J. Bridgeman
Michael M. Zavlanos
40
0
0
22 Jun 2021
Reachability Analysis for Feed-Forward Neural Networks using Face
  Lattices
Reachability Analysis for Feed-Forward Neural Networks using Face Lattices
Xiaodong Yang
Hoang-Dung Tran
Weiming Xiang
Taylor Johnson
CVBM
75
19
0
02 Mar 2020
Output Reachable Set Estimation and Verification for Multi-Layer Neural
  Networks
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks
Weiming Xiang
Hoang-Dung Tran
Taylor T. Johnson
88
293
0
09 Aug 2017
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
249
1,842
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
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