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1808.08994
Cited By
Data Poisoning Attacks against Online Learning
27 August 2018
Yizhen Wang
Kamalika Chaudhuri
AAML
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Papers citing
"Data Poisoning Attacks against Online Learning"
50 / 51 papers shown
FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness
Siyuan Wen
Meng Zhang
Yang Yang
Ningning Ding
FedML
MU
286
0
0
13 Aug 2025
Fake or Real: The Impostor Hunt in Texts for Space Operations
Agata Kaczmarek
Dawid Płudowski
Piotr Wilczyñski
Krzysztof Kotowski
Ramez Shendy
Evridiki Vasileia Ntagiou
J. Nalepa
Artur Janicki
P. Biecek
127
0
0
17 Jul 2025
Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Avinandan Bose
Laurent Lessard
Maryam Fazel
Krishnamurthy Dvijotham
AAML
190
3
0
23 Feb 2025
Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers
Kunze Wu
Weiheng Jiang
Dusit Niyato
Yinghuan Li
Chuang Luo
AAML
425
0
0
04 Sep 2024
PACOL: Poisoning Attacks Against Continual Learners
Huayu Li
G. Ditzler
AAML
186
3
0
18 Nov 2023
Exploring Model Dynamics for Accumulative Poisoning Discovery
International Conference on Machine Learning (ICML), 2023
Jianing Zhu
Xiawei Guo
Jiangchao Yao
Chao Du
Li He
Shuo Yuan
Tongliang Liu
Liang Wang
Bo Han
AAML
203
0
0
06 Jun 2023
Attacks on Online Learners: a Teacher-Student Analysis
Neural Information Processing Systems (NeurIPS), 2023
R. Margiotta
Sebastian Goldt
G. Sanguinetti
AAML
281
1
0
18 May 2023
Energy-Latency Attacks to On-Device Neural Networks via Sponge Poisoning
Zijian Wang
Shuo Huang
Yu-Jen Huang
Helei Cui
SILM
213
13
0
06 May 2023
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data
ACM Symposium on Access Control Models and Technologies (SACMAT), 2022
Minghong Fang
Jia-Wei Liu
Michinari Momma
Yi Sun
189
5
0
13 Dec 2022
Data Poisoning Attacks Against Multimodal Encoders
International Conference on Machine Learning (ICML), 2022
Ziqing Yang
Xinlei He
Zheng Li
Michael Backes
Mathias Humbert
Pascal Berrang
Yang Zhang
AAML
432
69
0
30 Sep 2022
Federated Learning based on Defending Against Data Poisoning Attacks in IoT
Jiayin Li
Wenzhong Guo
Xingshuo Han
Jianping Cai
Ximeng Liu
AAML
272
3
0
14 Sep 2022
On the Permanence of Backdoors in Evolving Models
Huiying Li
A. Bhagoji
Yuxin Chen
Haitao Zheng
Ben Y. Zhao
AAML
268
3
0
08 Jun 2022
On Collective Robustness of Bagging Against Data Poisoning
International Conference on Machine Learning (ICML), 2022
Ruoxin Chen
Zenan Li
Jie Li
Chentao Wu
Junchi Yan
223
25
0
26 May 2022
Adversarial Patterns: Building Robust Android Malware Classifiers
ACM Computing Surveys (ACM CSUR), 2022
Dipkamal Bhusal
Nidhi Rastogi
AAML
350
9
0
04 Mar 2022
System Cards for AI-Based Decision-Making for Public Policy
Furkan Gursoy
I. Kakadiaris
MLAU
288
22
0
01 Mar 2022
Understanding Rare Spurious Correlations in Neural Networks
Yao-Yuan Yang
Chi-Ning Chou
Kamalika Chaudhuri
AAML
306
31
0
10 Feb 2022
A Survey on Adversarial Attacks for Malware Analysis
IEEE Access (IEEE Access), 2021
Kshitiz Aryal
Maanak Gupta
Mahmoud Abdelsalam
AAML
317
68
0
16 Nov 2021
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2021
J. Breier
Xiaolu Hou
Martín Ochoa
Jesus Solano
SILM
AAML
321
13
0
23 Sep 2021
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
Neil G. Marchant
Benjamin I. P. Rubinstein
Scott Alfeld
MU
AAML
260
92
0
17 Sep 2021
Robust Online Convex Optimization in the Presence of Outliers
T. Erven
Sarah Sachs
Wouter M. Koolen
W. Kotłowski
218
8
0
05 Jul 2021
Accumulative Poisoning Attacks on Real-time Data
Neural Information Processing Systems (NeurIPS), 2021
Tianyu Pang
Xiao Yang
Yinpeng Dong
Hang Su
Jun Zhu
244
22
0
18 Jun 2021
Gradient-based Data Subversion Attack Against Binary Classifiers
Rosni Vasu
Sanjay Seetharaman
Shubham Malaviya
Manish Shukla
S. Lodha
AAML
153
1
0
31 May 2021
Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance
IEEE Military Communications Conference (MILCOM), 2021
Jack W. Stokes
P. England
K. Kane
AAML
249
21
0
20 May 2021
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks
Yingzhe He
Guozhu Meng
Kai Chen
Jinwen He
Xingbo Hu
MU
90
32
0
13 May 2021
Influence Based Defense Against Data Poisoning Attacks in Online Learning
International Conference on Communication Systems and Networks (COMSNETS), 2021
Sanjay Seetharaman
Shubham Malaviya
KV Rosni
Manish Shukla
S. Lodha
TDI
AAML
215
10
0
24 Apr 2021
Lethean Attack: An Online Data Poisoning Technique
Eyal Perry
SILM
AAML
94
1
0
24 Nov 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
ACM Computing Surveys (ACM CSUR), 2020
G. R. Machado
Eugênio Silva
R. Goldschmidt
AAML
272
186
0
08 Sep 2020
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners
Annual Meeting of the Cognitive Science Society (CogSci), 2020
Yun-Shiuan Chuang
Xuezhou Zhang
Yuzhe Ma
Mark K. Ho
Joseph L. Austerweil
Xiaojin Zhu
OffRL
267
8
0
05 Sep 2020
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics
International Conference on Learning Representations (ICLR), 2020
Yanchao Sun
Da Huo
Furong Huang
AAML
OffRL
OnRL
418
55
0
02 Sep 2020
Towards Class-Oriented Poisoning Attacks Against Neural Networks
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Bingyin Zhao
Yingjie Lao
SILM
AAML
102
22
0
31 Jul 2020
AI Data poisoning attack: Manipulating game AI of Go
Junli Shen
Maocai Xia
AAML
163
3
0
23 Jul 2020
Model-Targeted Poisoning Attacks with Provable Convergence
Fnu Suya
Saeed Mahloujifar
Anshuman Suri
David Evans
Yuan Tian
AAML
168
5
0
30 Jun 2020
The Sample Complexity of Teaching-by-Reinforcement on Q-Learning
Xuezhou Zhang
S. Bharti
Yuzhe Ma
Adish Singla
Xiaojin Zhu
249
6
0
16 Jun 2020
Depth-2 Neural Networks Under a Data-Poisoning Attack
Neurocomputing (Neurocomputing), 2020
Sayar Karmakar
Anirbit Mukherjee
Ramchandran Muthukumar
326
10
0
04 May 2020
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
Journal of machine learning research (JMLR), 2020
Jon Vadillo
Roberto Santana
Jose A. Lozano
AAML
275
1
0
14 Apr 2020
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks
Neural Information Processing Systems (NeurIPS), 2020
Samuel Deng
Sanjam Garg
S. Jha
Saeed Mahloujifar
Mohammad Mahmoody
Abhradeep Thakurta
217
3
0
26 Mar 2020
Towards Security Threats of Deep Learning Systems: A Survey
Yingzhe He
Guozhu Meng
Kai Chen
Xingbo Hu
Jinwen He
AAML
ELM
260
15
0
28 Nov 2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
Neural Information Processing Systems (NeurIPS), 2019
Xuanqing Liu
Si Si
Xiaojin Zhu
Yang Li
Cho-Jui Hsieh
AAML
197
83
0
30 Oct 2019
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks
Neural Computation (Neural Comput.), 2019
Kaixuan Zhang
Qinglong Wang
Xue Liu
C. Lee Giles
TDI
167
3
0
15 Oct 2019
Policy Poisoning in Batch Reinforcement Learning and Control
Neural Information Processing Systems (NeurIPS), 2019
Yuzhe Ma
Xuezhou Zhang
Wen Sun
Xiaojin Zhu
AAML
OffRL
232
130
0
13 Oct 2019
On Defending Against Label Flipping Attacks on Malware Detection Systems
R. Taheri
R. Javidan
Mohammad Shojafar
Zahra Pooranian
A. Miri
Mauro Conti
AAML
291
99
0
13 Aug 2019
An Investigation of Data Poisoning Defenses for Online Learning
Yizhen Wang
Somesh Jha
Kamalika Chaudhuri
AAML
141
5
0
28 May 2019
Data Poisoning Attacks on Stochastic Bandits
International Conference on Machine Learning (ICML), 2019
Fang Liu
Ness B. Shroff
AAML
247
108
0
16 May 2019
Online Data Poisoning Attack
Xuezhou Zhang
Xiaojin Zhu
Laurent Lessard
AAML
162
28
0
05 Mar 2019
Optimal Attack against Autoregressive Models by Manipulating the Environment
AAAI Conference on Artificial Intelligence (AAAI), 2019
Yiding Chen
Xiaojin Zhu
AAML
191
11
0
01 Feb 2019
Optimization Problems for Machine Learning: A Survey
Claudio Gambella
Bissan Ghaddar
Joe Naoum-Sawaya
AI4CE
463
230
0
16 Jan 2019
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning
Faiq Khalid
Muhammad Abdullah Hanif
Semeen Rehman
Junaid Qadir
Mohamed Bennai
AAML
136
34
0
04 Nov 2018
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks
Faiq Khalid
Muhammad Abdullah Hanif
Semeen Rehman
Rehan Ahmed
Mohamed Bennai
AAML
230
21
0
02 Nov 2018
Multiparty Dynamics and Failure Modes for Machine Learning and Artificial Intelligence
David Manheim
233
31
0
16 Oct 2018
Can Adversarially Robust Learning Leverage Computational Hardness?
Saeed Mahloujifar
Mohammad Mahmoody
AAML
OOD
151
49
0
02 Oct 2018
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