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Provable Repair of Deep Neural Networks

Provable Repair of Deep Neural Networks

9 April 2021
Matthew Sotoudeh
Aditya V. Thakur
    AAML
ArXivPDFHTML

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
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
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
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
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
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
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
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
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Zou
145
185
0
31 May 2022
Fast Model Editing at Scale
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
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
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
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
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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