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Nasr, Milad
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1

Membership Inference Attacks From First Principles:

, In: 2022 IEEE Symposium on Security and Privacy (SP),
Carlini, Nicholas ; Chien, Steve ; Nasr, Milad... - p. 1897-1914 , 2022
Link: https://doi.org/10.1109/..
 
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2

Machine Learning with Differentially Private Labels: Mechan..:

Tang, Xinyu ; Nasr, Milad ; Mahloujifar, Saeed...
Proceedings on Privacy Enhancing Technologies.  2022 (2022)  4 - p. 332-350 , 2022
Link: https://doi.org/10.56553..
 
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3

Adversary Instantiation: Lower Bounds for Differentially Pr..:

, In: 2021 IEEE Symposium on Security and Privacy (SP),
Nasr, Milad ; Songi, Shuang ; Thakurta, Abhradeep.. - p. 866-882 , 2021
Link: https://doi.org/10.1109/..
 
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4

Robust Adversarial Attacks Against DNN-Based Wireless Commu..:

, In: Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security,
Bahramali, Alireza ; Nasr, Milad ; Houmansadr, Amir.. - p. 126-140 , 2021
Link: https://dl.acm.org/doi/1..
 
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5

Bidding strategies with gender nondiscrimination constraint..:

, In: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency,
Nasr, Milad ; Tschantz, Michael Carl - p. 337-347 , 2020
Link: https://dl.acm.org/doi/1..
 
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6

Machine Learning with Membership Privacy using Adversarial ..:

, In: Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security,
Nasr, Milad ; Shokri, Reza ; Houmansadr, Amir - p. 634-646 , 2018
Link: https://dl.acm.org/doi/1..
 
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7

DeepCorr : Strong Flow Correlation Attacks on Tor Using ..:

, In: Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security,
Nasr, Milad ; Bahramali, Alireza ; Houmansadr, Amir - p. 1962-1976 , 2018
Link: https://dl.acm.org/doi/1..
 
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8

The Waterfall of Liberty : Decoy Routing Circumvention t..:

, In: Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security,
Nasr, Milad ; Zolfaghari, Hadi ; Houmansadr, Amir - p. 2037-2052 , 2017
Link: https://dl.acm.org/doi/1..
 
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9

Compressive Traffic Analysis : A New Paradigm for Scalab..:

, In: Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security,
Nasr, Milad ; Houmansadr, Amir ; Mazumdar, Arya - p. 2053-2069 , 2017
Link: https://dl.acm.org/doi/1..
 
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10

GAME OF DECOYS : Optimal Decoy Routing Through Game Theo..:

, In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security,
Nasr, Milad ; Houmansadr, Amir - p. 1727-1738 , 2016
Link: https://dl.acm.org/doi/1..
 
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11

Private Fine-tuning of Large Language Models with Zeroth-or..:

Tang, Xinyu ; Panda, Ashwinee ; Nasr, Milad..
http://arxiv.org/abs/2401.04343.  , 2024
Link: http://arxiv.org/abs/240..
 
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12

Privacy Side Channels in Machine Learning Systems:

Debenedetti, Edoardo ; Severi, Giorgio ; Carlini, Nicholas...
http://arxiv.org/abs/2309.05610.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

Scalable Extraction of Training Data from (Production) Lang..:

Nasr, Milad ; Carlini, Nicholas ; Hayase, Jonathan...
http://arxiv.org/abs/2311.17035.  , 2023
Link: http://arxiv.org/abs/231..
 
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14

Preventing Generation of Verbatim Memorization in Language ..:

Ippolito, Daphne ; Tramèr, Florian ; id_orcid:0 000-0001-8703-8762...
info:eu-repo/semantics/altIdentifier/isbn/979-8-89176-001-1.  , 2023
Link: https://hdl.handle.net/2..
 
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15

Reverse-Engineering Decoding Strategies Given Blackbox Acce..:

Ippolito, Daphne ; Carlini, Nicholas ; Lee, Katherine..
http://arxiv.org/abs/2309.04858.  , 2023
Link: http://arxiv.org/abs/230..
 
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