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09/12/2023
Level Up: Private Non-Interactive Decision Tree Evaluation using Levelled Homomorphic Encryption
As machine learning as a service continues gaining popularity, concerns ...
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08/28/2023
Identifying and Mitigating the Security Risks of Generative AI
Every major technical invention resurfaces the dual-use dilemma – the ne...
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08/21/2023
Backdooring Textual Inversion for Concept Censorship
Recent years have witnessed success in AIGC (AI Generated Content). Peop...
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06/14/2023
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions
Machine Learning as a Service (MLaaS) is an increasingly popular design ...
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05/07/2023
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks against Deep Image Classification
Deep image classification models trained on large amounts of web-scraped...
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04/14/2023
PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators
Deepfakes refer to content synthesized using deep generators, which, whe...
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03/16/2023
HE is all you need: Compressing FHE Ciphertexts using Additive HE
Fully Homomorphic Encryption (FHE) permits the evaluation of an arbitrar...
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11/13/2022
Comprehension from Chaos: What Users Understand and Expect from Private Computation
Private computation, which includes techniques like multi-party computat...
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09/28/2022
Faster Secure Comparisons with Offline Phase for Efficient Private Set Intersection
In a Private section intersection (PSI) protocol, Alice and Bob compute ...
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05/02/2022
The Limits of Word Level Differential Privacy
As the issues of privacy and trust are receiving increasing attention wi...
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04/16/2022
Assessing Differentially Private Variational Autoencoders under Membership Inference
We present an approach to quantify and compare the privacy-accuracy trad...
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02/15/2022
Constant-weight PIR: Single-round Keyword PIR via Constant-weight Equality Operators
Equality operators are an essential building block in tasks over secure ...
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10/11/2021
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference
Differentially private training algorithms provide protection against on...
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10/08/2021
IHOP: Improved Statistical Query Recovery against Searchable Symmetric Encryption through Quadratic Optimization
Searchable Symmetric Encryption (SSE) schemes allow a client to perform ...
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08/11/2021
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)
Deep Neural Network (DNN) watermarking is a method for provenance verifi...
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07/26/2021
Selective MPC: Distributed Computation of Differentially Private Key Value Statistics
An increasingly popular method for computing aggregate statistics while ...
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03/10/2021
Equi-Joins Over Encrypted Data for Series of Queries
Encryption provides a method to protect data outsourced to a DBMS provid...
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03/09/2021
PCOR: Private Contextual Outlier Release via Differentially Private Search
Outlier detection plays a significant role in various real world applica...
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03/04/2021
Quantifying identifiability to choose and audit ε in differentially private deep learning
Differential privacy allows bounding the influence that training data re...
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02/18/2021
Obfuscated Access and Search Patterns in Searchable Encryption
Searchable Symmetric Encryption (SSE) allows a data owner to securely ou...
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10/23/2020
Differentially Private Learning Does Not Bound Membership Inference
Training machine learning models on privacy-sensitive data has become a ...
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10/07/2020
Hiding the Access Pattern is Not Enough: Exploiting Search Pattern Leakage in Searchable Encryption
Recent Searchable Symmetric Encryption (SSE) schemes enable secure searc...
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03/20/2020
Efficient Oblivious Database Joins
A major algorithmic challenge in designing applications intended for sec...
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02/12/2020
EncDBDB: Searchable Encrypted, Fast, Compressed, In-Memory Database using Enclaves
Data confidentiality is an important requirement for clients when outsou...
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12/24/2019
Assessing differentially private deep learning with Membership Inference
Releasing data in the form of trained neural networks with differential ...
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12/02/2019
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
In Machine Learning as a Service, a provider trains a deep neural networ...
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10/31/2019
Robust and Undetectable White-Box Watermarks for Deep Neural Networks
Training deep neural networks (DNN) is expensive in terms of computation...
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09/18/2019
Non-Interactive Private Decision Tree Evaluation
Decision trees are a powerful prediction model with many applications in...
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09/18/2019
Secure Computation of the kth-Ranked Element in a Star Network
We consider the problem of securely computing the kth-ranked element in ...
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06/18/2019
On the Robustness of the Backdoor-based Watermarking in Deep Neural Networks
Obtaining the state of the art performance of deep learning models impos...
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05/02/2018
SynTF: Synthetic and Differentially Private Term Frequency Vectors for Privacy-Preserving Text Mining
Text mining and information retrieval techniques have been developed to ...
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02/04/2018
