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2106.08361
Cited By
Adversarial Attacks on Deep Models for Financial Transaction Records
15 June 2021
I. Fursov
Matvey Morozov
N. Kaploukhaya
Elizaveta Kovtun
Rodrigo Rivera-Castro
Gleb Gusev
Dmitrii Babaev
Ivan Kireev
Alexey Zaytsev
Evgeny Burnaev
AAML
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Papers citing
"Adversarial Attacks on Deep Models for Financial Transaction Records"
21 / 21 papers shown
Title
No Query, No Access
Wenjie Wang
Siyuan Liang
Yize Zhang
Xiaojun Jia
Hao Lin
Xiaochun Cao
AAML
105
1
0
12 May 2025
Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations
Ahod Alghuried
Ali Alkinoon
Abdulaziz Alghamdi
Soohyeon Choi
Manar Mohaisen
David A. Mohaisen
AAML
67
0
0
24 Apr 2025
Diffusion Transformers for Tabular Data Time Series Generation
Fabrizio Garuti
E. Sangineto
Simone Luetto
L. Forni
Rita Cucchiara
223
0
0
10 Apr 2025
Self-Attention Mechanism in Multimodal Context for Banking Transaction Flow
Cyrile Delestre
Yoann Sola
34
0
0
10 Oct 2024
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures
Pooja Krishan
Rohan Mohapatra
Saptarshi Sengupta
AAML
75
1
0
27 Aug 2024
Uniting contrastive and generative learning for event sequences models
Aleksandr Yugay
Alexey Zaytsev
AI4TS
97
1
0
19 Aug 2024
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Chenyu Zhang
Jiahao Huang
Jianlong Zhou
Fang Chen
AAML
78
1
0
14 Aug 2024
Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Empirical Analysis
Ahod Alghureid
David Mohaisen
AAML
73
2
0
06 Aug 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey
Naveen Karunanayake
Ravin Gunawardena
Suranga Seneviratne
Sanjay Chawla
OOD
78
7
0
08 Apr 2024
MLEM: Generative and Contrastive Learning as Distinct Modalities for Event Sequences
Viktor Moskvoretskii
Dmitry Osin
Egor Shvetsov
Igor Udovichenko
Maxim Zhelnin
Andrey Dukhovny
Anna Zhimerikina
Evgeny Burnaev
AI4TS
100
2
0
29 Jan 2024
Assessing Robustness via Score-Based Adversarial Image Generation
Marcel Kollovieh
Lukas Gosch
Yan Scholten
Marten Lienen
Leo Schwinn
Stephan Günnemann
DiffM
126
6
0
06 Oct 2023
Designing an attack-defense game: how to increase robustness of financial transaction models via a competition
Alexey Zaytsev
Alexey Natekin
Evgeni Vorsin
Valerii Smirnov
G. Smirnov
Oleg Sidorshin
Alexander Senin
Alexander Dudin
Dmitry Berestnev
AAML
55
0
0
22 Aug 2023
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
Dongjin Lee
Juho Lee
Kijung Shin
AAML
66
2
0
21 Aug 2023
Hiding Backdoors within Event Sequence Data via Poisoning Attacks
Elizaveta Kovtun
A. Ermilova
Dmitry Berestnev
Alexey Zaytsev
SILM
AAML
61
1
0
20 Aug 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
120
62
0
18 May 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey
Yulong Wang
Tong Sun
Shenghong Li
Xinnan Yuan
W. Ni
Ekram Hossain
H. Vincent Poor
AAML
91
18
0
11 Mar 2023
One Transformer for All Time Series: Representing and Training with Time-Dependent Heterogeneous Tabular Data
Simone Luetto
Fabrizio Garuti
E. Sangineto
L. Forni
Rita Cucchiara
LMTD
AI4TS
136
13
0
13 Feb 2023
Robust Graph Neural Networks using Weighted Graph Laplacian
Bharat Runwal
Vivek
Sandeep Kumar
AAML
OOD
48
5
0
03 Aug 2022
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics
Haya Brama
L. Dery
Tal Grinshpoun
AAML
56
8
0
10 Jan 2022
Bank transactions embeddings help to uncover current macroeconomics
Maria Begicheva
Alexey Zaytsev
53
5
0
14 Oct 2021
When and How to Fool Explainable Models (and Humans) with Adversarial Examples
Jon Vadillo
Roberto Santana
Jose A. Lozano
SILM
AAML
95
13
0
05 Jul 2021
1