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Robustness Verification for Transformers

Robustness Verification for Transformers

16 February 2020
Zhouxing Shi
Huan Zhang
Kai-Wei Chang
Minlie Huang
Cho-Jui Hsieh
    AAML
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Papers citing "Robustness Verification for Transformers"

34 / 34 papers shown
Title
Neural Network Verification with Branch-and-Bound for General Nonlinearities
Neural Network Verification with Branch-and-Bound for General Nonlinearities
Zhouxing Shi
Qirui Jin
Zico Kolter
Suman Jana
Cho-Jui Hsieh
Huan Zhang
48
11
0
31 May 2024
A One-Layer Decoder-Only Transformer is a Two-Layer RNN: With an
  Application to Certified Robustness
A One-Layer Decoder-Only Transformer is a Two-Layer RNN: With an Application to Certified Robustness
Yuhao Zhang
Aws Albarghouthi
Loris Dántoni
OffRL
31
0
0
27 May 2024
Benchmarking the Robustness of Temporal Action Detection Models Against
  Temporal Corruptions
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
Runhao Zeng
Xiaoyong Chen
Jiaming Liang
Huisi Wu
Guangzhong Cao
Yong Guo
AAML
39
4
0
29 Mar 2024
Robustness Verification for Knowledge-Based Logic of Risky Driving
  Scenes
Robustness Verification for Knowledge-Based Logic of Risky Driving Scenes
Xia Wang
Anda Liang
Jonathan Sprinkle
Taylor T. Johnson
24
4
0
27 Dec 2023
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
45
83
0
19 May 2023
Efficient Error Certification for Physics-Informed Neural Networks
Efficient Error Certification for Physics-Informed Neural Networks
Francisco Eiras
Adel Bibi
Rudy Bunel
Krishnamurthy Dvijotham
Philip Torr
M. P. Kumar
PINN
26
1
0
17 May 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text
  Classification
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification
Lingfeng Shen
Ze Zhang
Haiyun Jiang
Ying-Cong Chen
AAML
41
5
0
03 Feb 2023
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical
  Applications with Categorical Inputs
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs
Helene Orsini
Hongyan Bao
Yujun Zhou
Xiangrui Xu
Yufei Han
Longyang Yi
Wei Wang
Xin Gao
Xiangliang Zhang
AAML
32
1
0
13 Dec 2022
Impact of Adversarial Training on Robustness and Generalizability of
  Language Models
Impact of Adversarial Training on Robustness and Generalizability of Language Models
Enes Altinisik
Hassan Sajjad
Husrev Taha Sencar
Safa Messaoud
Sanjay Chawla
AAML
21
8
0
10 Nov 2022
Can Transformers Reason in Fragments of Natural Language?
Can Transformers Reason in Fragments of Natural Language?
Viktor Schlegel
Kamen V. Pavlov
Ian Pratt-Hartmann
LRM
ReLM
32
7
0
10 Nov 2022
Textual Manifold-based Defense Against Natural Language Adversarial
  Examples
Textual Manifold-based Defense Against Natural Language Adversarial Examples
D. M. Nguyen
Anh Tuan Luu
AAML
24
17
0
05 Nov 2022
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and
  Model Uncertainty Estimation
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation
Fan Yin
Yao Li
Cho-Jui Hsieh
Kai-Wei Chang
AAML
67
4
0
22 Oct 2022
TCAB: A Large-Scale Text Classification Attack Benchmark
TCAB: A Large-Scale Text Classification Attack Benchmark
Kalyani Asthana
Zhouhang Xie
Wencong You
Adam Noack
Jonathan Brophy
Sameer Singh
Daniel Lowd
39
3
0
21 Oct 2022
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models
Ronghui Mu
Wenjie Ruan
Leandro Soriano Marcolino
Q. Ni
3DPC
30
10
0
15 Jul 2022
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal
  Verification Perspective
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective
Mark Huasong Meng
Guangdong Bai
Sin Gee Teo
Zhe Hou
Yan Xiao
Yun Lin
Jin Song Dong
AAML
23
43
0
24 Jun 2022
Adversarial Training for Improving Model Robustness? Look at Both
  Prediction and Interpretation
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
Hanjie Chen
Yangfeng Ji
OOD
AAML
VLM
26
21
0
23 Mar 2022
Are Transformers More Robust? Towards Exact Robustness Verification for
  Transformers
Are Transformers More Robust? Towards Exact Robustness Verification for Transformers
B. Liao
Chih-Hong Cheng
Hasan Esen
Alois Knoll
AAML
26
1
0
08 Feb 2022
Identifying Adversarial Attacks on Text Classifiers
Identifying Adversarial Attacks on Text Classifiers
Zhouhang Xie
Jonathan Brophy
Adam Noack
Wencong You
Kalyani Asthana
Carter Perkins
Sabrina Reis
Sameer Singh
Daniel Lowd
AAML
27
9
0
21 Jan 2022
Robust Natural Language Processing: Recent Advances, Challenges, and
  Future Directions
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions
Marwan Omar
Soohyeon Choi
Daehun Nyang
David A. Mohaisen
32
57
0
03 Jan 2022
Blending Anti-Aliasing into Vision Transformer
Blending Anti-Aliasing into Vision Transformer
Shengju Qian
Hao Shao
Yi Zhu
Mu Li
Jiaya Jia
26
20
0
28 Oct 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to
  CNNs
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs
Philipp Benz
Soomin Ham
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
ViT
47
78
0
06 Oct 2021
Detecting Textual Adversarial Examples through Randomized Substitution
  and Vote
Detecting Textual Adversarial Examples through Randomized Substitution and Vote
Xiaosen Wang
Yifeng Xiong
Kun He
AAML
25
11
0
13 Sep 2021
Searching for an Effective Defender: Benchmarking Defense against
  Adversarial Word Substitution
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
Zongyi Li
Jianhan Xu
Jiehang Zeng
Linyang Li
Xiaoqing Zheng
Qi Zhang
Kai-Wei Chang
Cho-Jui Hsieh
AAML
8
74
0
29 Aug 2021
On the Sensitivity and Stability of Model Interpretations in NLP
On the Sensitivity and Stability of Model Interpretations in NLP
Fan Yin
Zhouxing Shi
Cho-Jui Hsieh
Kai-Wei Chang
FAtt
19
33
0
18 Apr 2021
On the Robustness of Vision Transformers to Adversarial Examples
On the Robustness of Vision Transformers to Adversarial Examples
Kaleel Mahmood
Rigel Mahmood
Marten van Dijk
ViT
20
217
0
31 Mar 2021
On the Adversarial Robustness of Vision Transformers
On the Adversarial Robustness of Vision Transformers
Rulin Shao
Zhouxing Shi
Jinfeng Yi
Pin-Yu Chen
Cho-Jui Hsieh
ViT
33
137
0
29 Mar 2021
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo-wen Li
AAML
33
128
0
09 Sep 2020
The Depth-to-Width Interplay in Self-Attention
The Depth-to-Width Interplay in Self-Attention
Yoav Levine
Noam Wies
Or Sharir
Hofit Bata
Amnon Shashua
30
45
0
22 Jun 2020
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood
  Ensemble
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble
Yi Zhou
Xiaoqing Zheng
Cho-Jui Hsieh
Kai-Wei Chang
Xuanjing Huang
SILM
39
48
0
20 Jun 2020
Robust Encodings: A Framework for Combating Adversarial Typos
Robust Encodings: A Framework for Combating Adversarial Typos
Erik Jones
Robin Jia
Aditi Raghunathan
Percy Liang
AAML
142
102
0
04 May 2020
Mind Your Inflections! Improving NLP for Non-Standard Englishes with
  Base-Inflection Encoding
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding
Samson Tan
Chenyu You
L. Varshney
Min-Yen Kan
17
34
0
30 Apr 2020
Certified Robustness to Adversarial Word Substitutions
Certified Robustness to Adversarial Word Substitutions
Robin Jia
Aditi Raghunathan
Kerem Göksel
Percy Liang
AAML
183
291
0
03 Sep 2019
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
245
915
0
21 Apr 2018
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
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