Milad Nasr

Krishnamurthy (Dj) Dvijotham

Daniel Paleka

CoRR, 2024

Query-Based Adversarial Prompt Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Auditing Private Prediction.

[BibT_eX]

[DOI]

Karan Chadha

Nicolas Papernot

CoRR, 2024

Private Fine-tuning of Large Language Models with Zeroth-order Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Federated Ensemble Learning: Increasing the Capacity of Label Private Recommendation Systems.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2023

Scalable Extraction of Training Data from (Production) Language Models.

[BibT_eX]

[DOI]

Eric Wallace

Florian Tramèr

Katherine Lee

CoRR, 2023

Report of the 1st Workshop on Generative AI and Law.

[BibT_eX]

[DOI]

CoRR, 2023

Privacy Side Channels in Machine Learning Systems.

[BibT_eX]

[DOI]

Edoardo Debenedetti

Giorgio Severi

CoRR, 2023

Are aligned neural networks adversarially aligned?

[BibT_eX]

[DOI]

CoRR, 2023

Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Students Parrot Their Teachers: Membership Inference on Model Distillation.

[BibT_eX]

[DOI]

Katherine Lee

CoRR, 2023

Tight Auditing of Differentially Private Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

Extracting Training Data from Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

Students Parrot Their Teachers: Membership Inference on Model Distillation.

[BibT_eX]

[DOI]

Katherine Lee

Florian Tramèr

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Are aligned neural networks adversarially aligned?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Privacy Auditing with One (1) Training Run.

[BibT_eX]

[DOI]

Thomas Steinke

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy.

[BibT_eX]

[DOI]

Proceedings of the 16th International Natural Language Generation Conference, 2023

Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System.

[BibT_eX]

[DOI]

Proceedings of the 16th International Natural Language Generation Conference, 2023

Effectively Using Public Data in Privacy Preserving Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Why Is Public Pretraining Necessary for Private Model Training?

[BibT_eX]

[DOI]

Abhradeep Guha Thakurta

Lun Wang

Proceedings of the International Conference on Machine Learning, 2023

2022

Machine Learning with Differentially Private Labels: Mechanisms and Frameworks.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2022

Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy.

[BibT_eX]

[DOI]

CoRR, 2022

No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy".

[BibT_eX]

[DOI]

Vitaly Feldman

CoRR, 2022

FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture.

[BibT_eX]

[DOI]

Proceedings of the 31st USENIX Security Symposium, 2022

Membership Inference Attacks From First Principles.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

2021

Defeating DNN-Based Traffic Analysis Systems in Real-Time With Blind Adversarial Perturbations.

[BibT_eX]

[DOI]

Alireza Bahramali

Proceedings of the 30th USENIX Security Symposium, 2021

Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems.

[BibT_eX]

[DOI]

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising.

[BibT_eX]

[DOI]

CoRR, 2020

Blind Adversarial Network Perturbations.

[BibT_eX]

[DOI]

Alireza Bahramali

CoRR, 2020

MassBrowser: Unblocking the Censored Web for the Masses, by the Masses.

[BibT_eX]

[DOI]

Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

Bidding strategies with gender nondiscrimination constraints for online ad auctions.

[BibT_eX]

[DOI]

Michael Carl Tschantz

Proceedings of the FAT* '20: Conference on Fairness, 2020

2019

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

Enemy At the Gateways: Censorship-Resilient Proxy Distribution Using Game Theory.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

2018

Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks.

[BibT_eX]

[DOI]

CoRR, 2018

Machine Learning with Membership Privacy using Adversarial Regularization.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

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

[BibT_eX]

[DOI]

Alireza Bahramali

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

Enemy At the Gateways: A Game Theoretic Approach to Proxy Distribution.

[BibT_eX]

[DOI]

CoRR, 2017

The Waterfall of Liberty: Decoy Routing Circumvention that Resists Routing Attacks.

[BibT_eX]

[DOI]

Hadi Zolfaghari

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

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

[BibT_eX]

[DOI]

Arya Mazumdar

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016

GAME OF DECOYS: Optimal Decoy Routing Through Game Theory.

[BibT_eX]

[DOI]