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2005.08679
Cited By
An Overview of Privacy in Machine Learning
18 May 2020
Emiliano De Cristofaro
SILM
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Papers citing
"An Overview of Privacy in Machine Learning"
41 / 41 papers shown
AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents
Yixin Wu
Rui Wen
Chi Cui
Michael Backes
Yang Zhang
AAML
241
2
0
24 Nov 2025
When Better Features Mean Greater Risks: The Performance-Privacy Trade-Off in Contrastive Learning
ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025
Ruining Sun
Hongsheng Hu
Wei Luo
Zhaoxi Zhang
Yanjun Zhang
Haizhuan Yuan
Leo Yu Zhang
MIACV
AAML
449
2
0
06 Jun 2025
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels
Ayana Moshruba
Shay Snyder
Hamed Poursiami
Maryam Parsa
AAML
341
6
0
25 Feb 2025
Are Neuromorphic Architectures Inherently Privacy-preserving? An Exploratory Study
Proceedings on Privacy Enhancing Technologies (PoPETs), 2024
Ayana Moshruba
Ihsen Alouani
Maryam Parsa
AAML
343
7
0
24 Feb 2025
From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
Awa Khouna
Julien Ferry
Thibaut Vidal
AAML
321
1
0
07 Feb 2025
Hierarchical Conditional Tabular GAN for Multi-Tabular Synthetic Data Generation
Wilhelm Ågren
Victorio Úbeda Sosa
319
3
0
11 Nov 2024
SoK: Can Trajectory Generation Combine Privacy and Utility?
Proceedings on Privacy Enhancing Technologies (PoPETs), 2024
Erik Buchholz
A. Abuadbba
Shuo Wang
Surya Nepal
S. Kanhere
215
10
0
12 Mar 2024
Trained Random Forests Completely Reveal your Dataset
Julien Ferry
Ricardo Fukasawa
Timothée Pascal
Thibaut Vidal
AAML
255
11
0
29 Feb 2024
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis
Lorenzo Peracchio
G. Nicora
Enea Parimbelli
T. M. Buonocore
Roberto Bergamaschi
Eleonora Tavazzi
A. Dagliati
Riccardo Bellazzi
305
3
0
27 Feb 2024
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions
International Conference on Learning Representations (ICLR), 2024
Adel Javanmard
Lin Chen
Vahab Mirrokni
Ashwinkumar Badanidiyuru
Gang Fu
249
2
0
20 Jan 2024
Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
Social Science Research Network (SSRN), 2024
Claudio Novelli
F. Casolari
Philipp Hacker
Giorgio Spedicato
Luciano Floridi
AILaw
SILM
522
112
0
14 Jan 2024
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning
Julien Ferry
Ulrich Aïvodji
Sébastien Gambs
Marie-José Huguet
Mohamed Siala
FaML
364
7
0
22 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks
Vasisht Duddu
S. Szyller
Nadarajah Asokan
AAML
425
6
0
07 Dec 2023
Privacy Measurement in Tabular Synthetic Data: State of the Art and Future Research Directions
Alexander Boudewijn
Andrea Filippo Ferraris
D. Panfilo
Vanessa Cocca
Sabrina Zinutti
Karel De Schepper
Carlo Rossi Chauvenet
216
8
0
29 Nov 2023
Probabilistic Dataset Reconstruction from Interpretable Models
Julien Ferry
Ulrich Aïvodji
Sébastien Gambs
Marie-José Huguet
Mohamed Siala
254
9
0
29 Aug 2023
Trustworthy Representation Learning Across Domains
Ronghang Zhu
Dongliang Guo
Daiqing Qi
Zhixuan Chu
Xiang Yu
Sheng Li
FaML
AI4TS
357
2
0
23 Aug 2023
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development
Danilo Brajovic
Niclas Renner
Vincent Philipp Goebels
Philipp Wagner
Benjamin Frész
M. Biller
Mara Klaeb
Janika Kutz
Jens Neuhuettler
Marco F. Huber
292
18
0
21 Jul 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
IEEE Transactions on Intelligent Vehicles (TIV), 2023
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
341
39
0
17 May 2023
Learning from Aggregated Data: Curated Bags versus Random Bags
Lin Chen
Gang Fu
Amin Karbasi
Vahab Mirrokni
FedML
254
12
0
16 May 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources
Patterns (Patterns), 2023
Suraj Rajendran
Weishen Pan
M. Sabuncu
Yong Chen
Jiayu Zhou
Fei Wang
302
27
0
10 May 2023
Holistic risk assessment of inference attacks in machine learning
Yang Yang
SILM
AAML
MIACV
178
2
0
15 Dec 2022
Memorization of Named Entities in Fine-tuned BERT Models
International Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2022
Andor Diera
N. Lell
Aygul Garifullina
A. Scherp
242
2
0
07 Dec 2022
On the Alignment of Group Fairness with Attribute Privacy
WISE (WISE), 2022
Jan Aalmoes
Vasisht Duddu
A. Boutet
410
6
0
18 Nov 2022
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Faisal Hamman
Jiahao Chen
Sanghamitra Dutta
343
10
0
03 Nov 2022
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
Julien Ferry
Ulrich Aïvodji
Sébastien Gambs
Marie-José Huguet
Mohamed Siala
AAML
197
16
0
02 Sep 2022
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders
Kaidi Wang
Bo Zhao
Xiangyu Peng
Zheng Hua Zhu
Jiankang Deng
Xinchao Wang
Hakan Bilen
Yang You
PICV
328
12
0
23 May 2022
Label-only Model Inversion Attack: The Attack that Requires the Least Information
Dayong Ye
Tianqing Zhu
Shuai Zhou
B. Liu
Wanlei Zhou
194
4
0
13 Mar 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning
Proceedings of the IEEE (Proc. IEEE), 2022
Chuan Ma
Jun Li
Kang Wei
Bo Liu
Ming Ding
Long Yuan
Zhu Han
H. Vincent Poor
446
77
0
18 Feb 2022
Towards Intelligent Context-Aware 6G Security
A. Barreto
Stefan Kopsell
A. Chorti
Bertram Poettering
J. Jelitto
...
Jonathan Boole
Konrad Rieck
Marios Kountouris
Dave Singelée
Kumar Ashwinee
114
4
0
17 Dec 2021
Membership Inference Attacks Against Self-supervised Speech Models
Interspeech (Interspeech), 2021
Wei-Cheng Tseng
Wei-Tsung Kao
Hung-yi Lee
457
19
0
09 Nov 2021
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups
Italian National Conference on Sensors (INS), 2021
A. Wainakh
Ephraim Zimmer
Sandeep Subedi
Jens Keim
Tim Grube
Shankar Karuppayah
Alejandro Sánchez Guinea
Max Mühlhäuser
267
20
0
05 Nov 2021
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers
International Middleware Conference (Middleware), 2021
A. Boutet
Thomas LeBrun
Jan Aalmoes
Adrien Baud
FedML
288
21
0
26 Sep 2021
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Shucheng Zhou
FaML
499
272
0
12 Jul 2021
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILM
MIACV
326
94
0
04 Jul 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs
Conference on Computer and Communications Security (CCS), 2021
Mohammad Malekzadeh
Anastasia Borovykh
Deniz Gündüz
MIACV
297
45
0
25 May 2021
Bounding Information Leakage in Machine Learning
Ganesh Del Grosso
Georg Pichler
C. Palamidessi
Pablo Piantanida
MIACV
FedML
248
18
0
09 May 2021
Membership Inference Attacks on Machine Learning: A Survey
ACM Computing Surveys (CSUR), 2021
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
493
654
0
14 Mar 2021
PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting
Ismat Jarin
Birhanu Eshete
235
22
0
19 Feb 2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
USENIX Security Symposium (USENIX Security), 2021
Yugeng Liu
Rui Wen
Xinlei He
A. Salem
Zhikun Zhang
Michael Backes
Emiliano De Cristofaro
Mario Fritz
Yang Zhang
AAML
274
161
0
04 Feb 2021
R-GAP: Recursive Gradient Attack on Privacy
Junyi Zhu
Matthew Blaschko
FedML
380
156
0
15 Oct 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?
Jeremy Georges-Filteau
Elisa Cirillo
SyDa
AI4CE
498
18
0
27 May 2020
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