Milad Nasr

Google Scholar
18 publications in security and cryptology related venues
Year
Venue
Title
2025
conf/sp
SoK: Watermarking for AI-Generated Content.
Xuandong Zhao Sam Gunn Miranda Christ Jaiden Fairoze Andres Fabrega Nicholas Carlini Sanjam Garg Sanghyun Hong Milad Nasr Florian Tramèr Somesh Jha Lei Li Yu-Xiang Wang Dawn Song
2024
conf/uss
Privacy Side Channels in Machine Learning Systems.
Edoardo Debenedetti Giorgio Severi Milad Nasr Christopher A. Choquette-Choo Matthew Jagielski Eric Wallace Nicholas Carlini Florian Tramèr
2023
conf/uss
Tight Auditing of Differentially Private Machine Learning.
Milad Nasr Jamie Hayes Thomas Steinke Borja Balle Florian Tramèr Matthew Jagielski Nicholas Carlini Andreas Terzis
2023
conf/uss
Extracting Training Data from Diffusion Models.
Nicholas Carlini Jamie Hayes Milad Nasr Matthew Jagielski Vikash Sehwag Florian Tramèr Borja Balle Daphne Ippolito Eric Wallace
2022
journals/popets
Machine Learning with Differentially Private Labels: Mechanisms and Frameworks.
Xinyu Tang Milad Nasr Saeed Mahloujifar Virat Shejwalkar Liwei Song Amir Houmansadr Prateek Mittal
2022
conf/uss
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture.
Xinyu Tang Saeed Mahloujifar Liwei Song Virat Shejwalkar Milad Nasr Amir Houmansadr Prateek Mittal
2022
conf/sp
Membership Inference Attacks From First Principles.
Nicholas Carlini Steve Chien Milad Nasr Shuang Song Andreas Terzis Florian Tramèr
2021
conf/ccs
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems.
Alireza Bahramali Milad Nasr Amir Houmansadr Dennis Goeckel Don Towsley
2021
conf/uss
Defeating DNN-Based Traffic Analysis Systems in Real-Time With Blind Adversarial Perturbations.
Milad Nasr Alireza Bahramali Amir Houmansadr
2021
conf/sp
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning.
Milad Nasr Shuang Song Abhradeep Thakurta Nicolas Papernot Nicholas Carlini
2020
conf/ndss
MassBrowser: Unblocking the Censored Web for the Masses, by the Masses.
Milad Nasr Hadi Zolfaghari Amir Houmansadr Amirhossein Ghafari
2019
conf/sp
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning.
Milad Nasr Reza Shokri Amir Houmansadr
2019
conf/ndss
Enemy At the Gateways: Censorship-Resilient Proxy Distribution Using Game Theory.
Milad Nasr Sadegh Farhang Amir Houmansadr Jens Grossklags
2018
conf/ccs
DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning.
Milad Nasr Alireza Bahramali Amir Houmansadr
2018
conf/ccs
Machine Learning with Membership Privacy using Adversarial Regularization.
Milad Nasr Reza Shokri Amir Houmansadr
2017
conf/ccs
Compressive Traffic Analysis: A New Paradigm for Scalable Traffic Analysis.
Milad Nasr Amir Houmansadr Arya Mazumdar
2017
conf/ccs
The Waterfall of Liberty: Decoy Routing Circumvention that Resists Routing Attacks.
Milad Nasr Hadi Zolfaghari Amir Houmansadr
2016
conf/ccs
GAME OF DECOYS: Optimal Decoy Routing Through Game Theory.
Milad Nasr Amir Houmansadr

Coauthors

Abhradeep Thakurta (1)
Alireza Bahramali (3)
Amir Houmansadr (12)
Amirhossein Ghafari (1)
Andreas Terzis (2)
Andrés Fábrega (1)
Arya Mazumdar (1)
Borja Balle (2)
Christopher A. Choquette-Choo (1)
Daphne Ippolito (1)
Dawn Song (1)
Dennis Goeckel (1)
Don Towsley (1)
Edoardo Debenedetti (1)
Eric Wallace (2)
Florian Tramèr (5)
Giorgio Severi (1)
Hadi Zolfaghari (2)
Jaiden Fairoze (1)
Jamie Hayes (2)
Jens Grossklags (1)
Lei Li (1)
Liwei Song (2)
Matthew Jagielski (3)
Milad Nasr (18)
Miranda Christ (1)
Nicholas Carlini (6)
Nicolas Papernot (1)
Prateek Mittal (2)
Reza Shokri (2)
Sadegh Farhang (1)
Saeed Mahloujifar (2)
Sam Gunn (1)
Sanghyun Hong (1)
Sanjam Garg (1)
Shuang Song (2)
Somesh Jha (1)
Steve Chien (1)
Thomas Steinke (1)
Vikash Sehwag (1)
Virat Shejwalkar (2)
Xinyu Tang (2)
Xuandong Zhao (1)
Yu-Xiang Wang (1)
Filters
Select all Unselect all
Years:  to