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Cinà, Antonio Emanuele
17  Ergebnisse:
Personensuche X
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1

Conning the Crypto Conman: End-to-End Analysis of Cryptocur..:

Acharya, Bhupendra ; Saad, Muhammad ; Cinà, Antonio Emanuele...
http://arxiv.org/abs/2401.09824.  , 2024
Link: http://arxiv.org/abs/240..
 
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2

Machine Learning Security Against Data Poisoning: Are We Th..:

Cinà, Antonio Emanuele ; Grosse, Kathrin ; Demontis, Ambra...
info:eu-repo/semantics/altIdentifier/wos/WOS:001180702200002.  , 2024
Link: https://hdl.handle.net/1..
 
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3

Hardening RGB-D Object Recognition Systems against Adversar..:

Zheng, Yang ; Demetrio, Luca ; Cinà, Antonio Emanuele...
http://arxiv.org/abs/2309.07106.  , 2023
Link: http://arxiv.org/abs/230..
 
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4

Minimizing Energy Consumption of Deep Learning Models by En..:

Lazzaro, Dario ; Cinà, Antonio Emanuele ; Pintor, Maura...
http://arxiv.org/abs/2307.00368.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

Security of Machine Learning (Dagstuhl Seminar 22281):

Biggio, Battista ; Carlini, Nicholas ; Laskov, Pavel..
Is Part Of Dagstuhl Reports, Volume 12, Issue 7 (2023).  , 2023
Link: https://doi.org/10.4230/..
 
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6

On the Limitations of Model Stealing with Uncertainty Quant..:

Pape, David ; Däubener, Sina ; Eisenhofer, Thorsten..
http://arxiv.org/abs/2305.05293.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

Hardening RGB-D object recognition systems against adversar..:

Zheng, Yang ; Demetrio, Luca ; Cinà, Antonio Emanuele...
info:eu-repo/semantics/altIdentifier/wos/WOS:001088996600001.  , 2023
Link: https://hdl.handle.net/1..
 
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8

Wild Patterns Reloaded: A Survey of Machine Learning Securi..:

Cinà, Antonio Emanuele ; Grosse, Kathrin ; Demontis, Ambra...
http://arxiv.org/abs/2205.01992.  , 2022
Link: http://arxiv.org/abs/220..
 
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9

Machine Learning Security against Data Poisoning: Are We Th..:

Cinà, Antonio Emanuele ; Grosse, Kathrin ; Demontis, Ambra...
http://arxiv.org/abs/2204.05986.  , 2022
Link: http://arxiv.org/abs/220..
 
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10

Energy-Latency Attacks via Sponge Poisoning:

Cinà, Antonio Emanuele ; Demontis, Ambra ; Biggio, Battista..
http://arxiv.org/abs/2203.08147.  , 2022
Link: http://arxiv.org/abs/220..
 
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11

Backdoor Learning Curves: Explaining Backdoor Poisoning Bey..:

Cinà, Antonio Emanuele ; Grosse, Kathrin ; Vascon, Sebastiano...
http://arxiv.org/abs/2106.07214.  , 2021
Link: http://arxiv.org/abs/210..
 
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12

The Hammer and the Nut: Is Bilevel Optimization Really Need..:

Cinà, Antonio Emanuele ; Vascon, Sebastiano ; Demontis, Ambra...
http://arxiv.org/abs/2103.12399.  , 2021
Link: http://arxiv.org/abs/210..
 
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13

A black-box adversarial attack for poisoning clustering:

Cinà, Antonio Emanuele ; Torcinovich, Alessandro ; Pelillo, Marcello
http://arxiv.org/abs/2009.05474.  , 2020
Link: http://arxiv.org/abs/200..
 
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14

On the Limitations of Model Stealing with Uncertainty Quant..:

David Pape ; Sina Däubener ; Thosten Eisenhofer..
doi:10.60882/cispa.25233280.v1.  , 2023
Link: https://doi.org/10.60882..
 
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15

On the Limitations of Model Stealing with Uncertainty Quant..:

David Pape ; Sina Däubener ; Thosten Eisenhofer..
https://figshare.com/articles/conference_contribution/On_the_Limitations_of_Model_Stealing_with_Uncertainty_Quantification_Models/25233280.  , 2023
Link: https://doi.org/10.60882..
 
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