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1908.04473
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On Defending Against Label Flipping Attacks on Malware Detection Systems
13 August 2019
R. Taheri
R. Javidan
Mohammad Shojafar
Zahra Pooranian
A. Miri
Mauro Conti
AAML
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Papers citing
"On Defending Against Label Flipping Attacks on Malware Detection Systems"
24 / 24 papers shown
ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection
Md Tanvirul Alam
Aritran Piplai
Nidhi Rastogi
291
2
0
11 Jul 2025
Addressing The Devastating Effects Of Single-Task Data Poisoning In Exemplar-Free Continual Learning
Stanisław Pawlak
Bartłomiej Twardowski
Tomasz Trzciñski
Joost van de Weijer
AAML
CLL
208
0
0
05 Jul 2025
Prototype Guided Backdoor Defense
Venkat Adithya Amula
Sunayana Samavedam
Saurabh Saini
Avani Gupta
Narayanan P J
AAML
321
1
0
26 Mar 2025
Robustness of Selected Learning Models under Label-Flipping Attack
Sarvagya Bhargava
Mark Stamp
AAML
340
2
0
21 Jan 2025
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights
International Conference on Learning Representations (ICLR), 2024
Aiwei Liu
Haoping Bai
Zhiyun Lu
Yanchao Sun
Xiang Kong
...
Albin Madappally Jose
Xiaojiang Liu
Lijie Wen
Philip S. Yu
Meng Cao
370
5
0
06 Oct 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges
Yanli Li
Zhongliang Guo
Nan Yang
Huaming Chen
Dong Yuan
Weiping Ding
FedML
387
25
0
09 Jul 2024
Mitigating Label Flipping Attacks in Malicious URL Detectors Using Ensemble Trees
Ehsan Nowroozi
Nada Jadalla
Samaneh Ghelichkhani
Alireza Jolfaei
AAML
311
8
0
05 Mar 2024
Manipulating Trajectory Prediction with Backdoors
Kaouther Messaoud
Kathrin Grosse
Mickaël Chen
Matthieu Cord
Patrick Pérez
Alexandre Alahi
AAML
LLMSV
238
1
0
21 Dec 2023
Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios
Yanli Li
Huaming Chen
Wei Bao
Zhengmeng Xu
Dong Yuan
AAML
207
7
0
10 Nov 2023
Fast Adversarial Label-Flipping Attack on Tabular Data
Xinglong Chang
Gill Dobbie
Jörg Simon Wicker
AAML
150
3
0
16 Oct 2023
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jingfeng Zhang
Bo Song
Haohan Wang
Bo Han
Tongliang Liu
Lei Liu
Masashi Sugiyama
AAML
NoLa
288
36
0
28 May 2023
On the Robustness of Random Forest Against Untargeted Data Poisoning: An Ensemble-Based Approach
IEEE Transactions on Sustainable Computing (IEEE Trans. Sustain. Comput.), 2022
M. Anisetti
C. Ardagna
Alessandro Balestrucci
Nicola Bena
Ernesto Damiani
C. Yeun
AAML
OOD
329
19
0
28 Sep 2022
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning)
Rui Shu
Tianpei Xia
Huy Tu
Laurie A. Williams
Tim Menzies
129
0
0
02 May 2022
SETTI: A Self-supervised Adversarial Malware Detection Architecture in an IoT Environment
Marjan Golmaryami
R. Taheri
Zahra Pooranian
Mohammad Shojafar
Pei Xiao
195
18
0
16 Apr 2022
A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network
Connection science (CS), 2022
Qinghao Zhang
Miao Ye
Hongbing Qiu
Yong Wang
Xiaofang Deng
160
22
0
19 Feb 2022
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning
A. Mondal
Harpreet Virk
Debayan Gupta
222
19
0
06 Feb 2022
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems
Giovanni Apruzzese
M. Andreolini
Luca Ferretti
Mirco Marchetti
M. Colajanni
AAML
348
141
0
17 Jun 2021
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT
Journal of Cybersecurity and Privacy (JCP), 2021
Pavlos Papadopoulos
Oliver Thornewill von Essen
Nikolaos Pitropakis
C. Chrysoulas
Alexios Mylonas
William J. Buchanan
AAML
287
55
0
26 Apr 2021
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Antonio Emanuele Cinà
Sebastiano Vascon
Ambra Demontis
Battista Biggio
Fabio Roli
Marcello Pelillo
AAML
185
14
0
23 Mar 2021
Deep Learning for Android Malware Defenses: a Systematic Literature Review
ACM Computing Surveys (CSUR), 2021
Yue Liu
Chakkrit Tantithamthavorn
Li Li
Yepang Liu
AAML
344
105
0
09 Mar 2021
Active Learning Under Malicious Mislabeling and Poisoning Attacks
Global Communications Conference (GLOBECOM), 2021
Jing Lin
R. Luley
Kaiqi Xiong
AAML
393
10
0
01 Jan 2021
Machine Learning (In) Security: A Stream of Problems
Fabrício Ceschin
Marcus Botacin
Nikolaos Perrakis
Bernhard Pfahringer
Luiz Eduardo Soares de Oliveira
Heitor Murilo Gomes
André Grégio
AAML
395
44
0
30 Oct 2020
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers
Wei Song
Xuezixiang Li
Sadia Afroz
D. Garg
Dmitry Kuznetsov
Heng Yin
AAML
589
29
0
06 Mar 2020
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
International Conference on Machine Learning (ICML), 2020
Elan Rosenfeld
Ezra Winston
Pradeep Ravikumar
J. Zico Kolter
OOD
AAML
587
177
0
07 Feb 2020
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