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Discrete Adversarial Attacks and Submodular Optimization with
  Applications to Text Classification

Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification

1 December 2018
Qi Lei
Lingfei Wu
Pin-Yu Chen
A. Dimakis
Inderjit S. Dhillon
Michael Witbrock
    AAML
ArXivPDFHTML

Papers citing "Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification"

30 / 30 papers shown
Title
Revisiting character-level adversarial attacks
Revisiting character-level adversarial attacks
Elias Abad Rocamora
Yongtao Wu
Fanghui Liu
Grigorios G. Chrysos
V. Cevher
AAML
39
3
0
07 May 2024
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods
Roopkatha Dey
Aivy Debnath
Sayak Kumar Dutta
Kaustav Ghosh
Arijit Mitra
Arghya Roy Chowdhury
Jaydip Sen
AAML
SILM
29
1
0
08 Apr 2024
Practical Parallel Algorithms for Non-Monotone Submodular Maximization
Practical Parallel Algorithms for Non-Monotone Submodular Maximization
Shuang Cui
Kai Han
Jing Tang
He Huang
Xueying Li
Aakas Zhiyuli
Han Li
30
2
0
21 Aug 2023
RADAR: Robust AI-Text Detection via Adversarial Learning
RADAR: Robust AI-Text Detection via Adversarial Learning
Xiaomeng Hu
Pin-Yu Chen
Tsung-Yi Ho
DeLMO
52
115
0
07 Jul 2023
Auditing and Generating Synthetic Data with Controllable Trust
  Trade-offs
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs
Brian M. Belgodere
Pierre Dognin
Adam Ivankay
Igor Melnyk
Youssef Mroueh
...
Mattia Rigotti
Jerret Ross
Yair Schiff
Radhika Vedpathak
Richard A. Young
34
12
0
21 Apr 2023
PAD: Towards Principled Adversarial Malware Detection Against Evasion
  Attacks
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks
Deqiang Li
Shicheng Cui
Yun Li
Jia Xu
Fu Xiao
Shouhuai Xu
AAML
54
18
0
22 Feb 2023
Adversarial AI in Insurance: Pervasiveness and Resilience
Adversarial AI in Insurance: Pervasiveness and Resilience
E. Luciano
Matteo Cattaneo
Ron S. Kenett
AAML
22
1
0
17 Jan 2023
Are AlphaZero-like Agents Robust to Adversarial Perturbations?
Are AlphaZero-like Agents Robust to Adversarial Perturbations?
Li-Cheng Lan
Huan Zhang
Ti-Rong Wu
Meng-Yu Tsai
I-Chen Wu
Cho-Jui Hsieh
AAML
27
10
0
07 Nov 2022
An Empirical Analysis of SMS Scam Detection Systems
An Empirical Analysis of SMS Scam Detection Systems
Muhammad Salman
Muhammad Ikram
M. Kâafar
46
8
0
19 Oct 2022
Probabilistic Categorical Adversarial Attack & Adversarial Training
Probabilistic Categorical Adversarial Attack & Adversarial Training
Han Xu
Penghei He
Jie Ren
Yuxuan Wan
Zitao Liu
Hui Liu
Jiliang Tang
AAML
SILM
33
0
0
17 Oct 2022
Adversarial Robustness for Tabular Data through Cost and Utility
  Awareness
Adversarial Robustness for Tabular Data through Cost and Utility Awareness
Klim Kireev
B. Kulynych
Carmela Troncoso
AAML
26
16
0
27 Aug 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
Shujian Zhang
Chengyue Gong
Xingchao Liu
Pengcheng He
Weizhu Chen
Mingyuan Zhou
27
26
0
10 May 2022
Word Tour: One-dimensional Word Embeddings via the Traveling Salesman
  Problem
Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem
Ryoma Sato
19
0
0
04 May 2022
Holistic Adversarial Robustness of Deep Learning Models
Holistic Adversarial Robustness of Deep Learning Models
Pin-Yu Chen
Sijia Liu
AAML
51
16
0
15 Feb 2022
Moving Other Way: Exploring Word Mover Distance Extensions
Moving Other Way: Exploring Word Mover Distance Extensions
Ilya Smirnov
Ivan P. Yamshchikov
27
1
0
07 Feb 2022
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
130
0
15 Dec 2021
Minimax Optimization: The Case of Convex-Submodular
Minimax Optimization: The Case of Convex-Submodular
Arman Adibi
Aryan Mokhtari
Hamed Hassani
21
7
0
01 Nov 2021
Adversarial Attacks and Defenses for Social Network Text Processing
  Applications: Techniques, Challenges and Future Research Directions
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
I. Alsmadi
Kashif Ahmad
Mahmoud Nazzal
Firoj Alam
Ala I. Al-Fuqaha
Abdallah Khreishah
A. Algosaibi
AAML
37
16
0
26 Oct 2021
Re-evaluating Word Mover's Distance
Re-evaluating Word Mover's Distance
Ryoma Sato
M. Yamada
H. Kashima
36
23
0
30 May 2021
Adversarial Attacks on Binary Image Recognition Systems
Adversarial Attacks on Binary Image Recognition Systems
Eric Balkanski
Harrison W. Chase
Kojin Oshiba
Alexander Rilee
Yaron Singer
Richard Wang
AAML
44
4
0
22 Oct 2020
Continuous Submodular Maximization: Beyond DR-Submodularity
Continuous Submodular Maximization: Beyond DR-Submodularity
Moran Feldman
Amin Karbasi
14
5
0
21 Jun 2020
Adversarial Attacks and Defenses: An Interpretation Perspective
Adversarial Attacks and Defenses: An Interpretation Perspective
Ninghao Liu
Mengnan Du
Ruocheng Guo
Huan Liu
Xia Hu
AAML
31
8
0
23 Apr 2020
Frequency-Guided Word Substitutions for Detecting Textual Adversarial
  Examples
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples
Maximilian Mozes
Pontus Stenetorp
Bennett Kleinberg
Lewis D. Griffin
AAML
30
99
0
13 Apr 2020
Gödel's Sentence Is An Adversarial Example But Unsolvable
Gödel's Sentence Is An Adversarial Example But Unsolvable
Xiaodong Qi
Lansheng Han
AAML
30
0
0
25 Feb 2020
Streaming Submodular Maximization under a $k$-Set System Constraint
Streaming Submodular Maximization under a kkk-Set System Constraint
Ran Haba
Ehsan Kazemi
Moran Feldman
Amin Karbasi
32
38
0
09 Feb 2020
Semantic Robustness of Models of Source Code
Semantic Robustness of Models of Source Code
Goutham Ramakrishnan
Jordan Henkel
Zi Wang
Aws Albarghouthi
S. Jha
Thomas W. Reps
SILM
AAML
47
97
0
07 Feb 2020
Adversarial Attack Generation Empowered by Min-Max Optimization
Adversarial Attack Generation Empowered by Min-Max Optimization
Jingkang Wang
Tianyun Zhang
Sijia Liu
Pin-Yu Chen
Jiacen Xu
M. Fardad
Yangqiu Song
AAML
25
35
0
09 Jun 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
258
916
0
21 Apr 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
294
13,373
0
25 Aug 2014
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