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Certified Robustness to Programmable Transformations in LSTMs
v1v2 (latest)

Certified Robustness to Programmable Transformations in LSTMs

15 February 2021
Yuhao Zhang
Aws Albarghouthi
Loris Dántoni
    AAML
ArXiv (abs)PDFHTML

Papers citing "Certified Robustness to Programmable Transformations in LSTMs"

7 / 7 papers shown
Title
A Survey of Safety and Trustworthiness of Large Language Models through
  the Lens of Verification and Validation
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Xiaowei Huang
Wenjie Ruan
Wei Huang
Gao Jin
Yizhen Dong
...
Sihao Wu
Peipei Xu
Dengyu Wu
André Freitas
Mustafa A. Mustafa
ALM
132
96
0
19 May 2023
Reliability Assurance for Deep Neural Network Architectures Against
  Numerical Defects
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects
Linyi Li
Yuhao Zhang
Luyao Ren
Yingfei Xiong
Tao Xie
48
9
0
13 Feb 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers
  via Randomized Deletion
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
Zhuoqun Huang
Neil G. Marchant
Keane Lucas
Lujo Bauer
O. Ohrimenko
Benjamin I. P. Rubinstein
AAML
94
17
0
31 Jan 2023
Natural Language Specifications in Proof Assistants
Natural Language Specifications in Proof Assistants
Colin S. Gordon
Sergey Matskevich
62
1
0
16 May 2022
Interactive Model Cards: A Human-Centered Approach to Model
  Documentation
Interactive Model Cards: A Human-Centered Approach to Model Documentation
Anamaria Crisan
Margaret Drouhard
Jesse Vig
Nazneen Rajani
HAI
78
89
0
05 May 2022
The Fundamental Limits of Interval Arithmetic for Neural Networks
The Fundamental Limits of Interval Arithmetic for Neural Networks
M. Mirman
Maximilian Baader
Martin Vechev
42
6
0
09 Dec 2021
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Yue Liu
AAML
123
131
0
09 Sep 2020
1