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2104.04413
Cited By
Provable Repair of Deep Neural Networks
9 April 2021
Matthew Sotoudeh
Aditya V. Thakur
AAML
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ArXiv
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Papers citing
"Provable Repair of Deep Neural Networks"
13 / 13 papers shown
Title
PRUNE: A Patching Based Repair Framework for Certiffable Unlearning of Neural Networks
Xuzhao Li
Jingyi Wang
Xiaohan Yuan
Peixin Zhang
Zhanyue Qin
Zhibo Wang
Kui Ren
AAML
MU
52
0
0
10 May 2025
TL-PCA: Transfer Learning of Principal Component Analysis
Sharon Hendy
Yehuda Dar
163
3
0
14 Oct 2024
Counterexample-Guided Repair of Reinforcement Learning Systems Using Safety Critics
David Boetius
Stefan Leue
28
0
0
24 May 2024
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
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
19
1
0
08 Mar 2023
AIREPAIR: A Repair Platform for Neural Networks
Xidan Song
Youcheng Sun
Mustafa A. Mustafa
Lucas C. Cordeiro
KELM
16
4
0
24 Nov 2022
Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations
S. Munakata
Caterina Urban
Haruki Yokoyama
Koji Yamamoto
Kazuki Munakata
AAML
17
4
0
13 Jul 2022
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Zou
145
185
0
31 May 2022
Fast Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Chelsea Finn
Christopher D. Manning
KELM
230
343
0
21 Oct 2021
Minimal Multi-Layer Modifications of Deep Neural Networks
Idan Refaeli
Guy Katz
KELM
AAML
35
15
0
18 Oct 2021
Sound and Complete Neural Network Repair with Minimality and Locality Guarantees
Feisi Fu
Wenchao Li
KELM
AAML
41
26
0
14 Oct 2021
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
249
1,838
0
03 Feb 2017
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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