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07/26/2023
Three Bricks to Consolidate Watermarks for Large Language Models
The task of discerning between generated and natural texts is increasing...
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04/05/2023
How to choose your best allies for a transferable attack?
The transferability of adversarial examples is a key issue in the securi...
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03/27/2023
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
Generative image modeling enables a wide range of applications but raise...
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12/06/2022
Mixer: DNN Watermarking using Image Mixup
It is crucial to protect the intellectual property rights of DNN models ...
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10/05/2022
Active Image Indexing
Image copy detection and retrieval from large databases leverage two com...
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08/05/2022
FBI: Fingerprinting models with Benign Inputs
Recent advances in the fingerprinting of deep neural networks detect ins...
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06/22/2022
ROSE: A RObust and SEcure DNN Watermarking
Protecting the Intellectual Property rights of DNN models is of primary ...
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06/17/2022
AggNet: Learning to Aggregate Faces for Group Membership Verification
In some face recognition applications, we are interested to verify wheth...
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04/28/2022
Randomized Smoothing under Attack: How Good is it in Pratice?
Randomized smoothing is a recent and celebrated solution to certify the ...
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12/17/2021
Watermarking Images in Self-Supervised Latent Spaces
We revisit watermarking techniques based on pre-trained deep networks, i...
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02/10/2021
RoBIC: A benchmark suite for assessing classifiers robustness
Many defenses have emerged with the development of adversarial attacks. ...
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11/25/2020
SurFree: a fast surrogate-free black-box attack
Machine learning classifiers are critically prone to evasion attacks. Ad...
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10/15/2020
Adversarial Images through Stega Glasses
This paper explores the connection between steganography and adversarial...
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10/02/2020
Note: An alternative proof of the vulnerability of k-NN classifiers in high intrinsic dimensionality regions
This document proposes an alternative proof of the result contained in a...
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08/12/2020
Defending Adversarial Examples via DNN Bottleneck Reinforcement
This paper presents a DNN bottleneck reinforcement scheme to alleviate t...
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02/24/2020
Joint Learning of Assignment and Representation for Biometric Group Membership
This paper proposes a framework for group membership protocols preventin...
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02/24/2020
Group Membership Verification with Privacy: Sparse or Dense?
Group membership verification checks if a biometric trait corresponds to...
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12/04/2019
Walking on the Edge: Fast, Low-Distortion Adversarial Examples
Adversarial examples of deep neural networks are receiving ever increasi...
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04/23/2019
Privacy Preserving Group Membership Verification and Identification
When convoking privacy, group membership verification checks if a biomet...
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03/28/2019
Smooth Adversarial Examples
This paper investigates the visual quality of the adversarial examples. ...
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12/10/2018
Aggregation and Embedding for Group Membership Verification
This paper proposes a group membership verification protocol preventing ...
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07/23/2018
Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking
State of the art image retrieval performance is achieved with CNN featur...
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03/20/2017
Fast Spectral Ranking for Similarity Search
Despite the success of deep learning on representing images for particul...
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11/16/2016
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
Query expansion is a popular method to improve the quality of image retr...
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11/14/2016
Automatic discovery of discriminative parts as a quadratic assignment problem
Part-based image classification consists in representing categories by s...
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12/10/2014
Memory vectors for similarity search in high-dimensional spaces
We study an indexing architecture to store and search in a database of h...
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07/08/2014
Orientation covariant aggregation of local descriptors with embeddings
Image search systems based on local descriptors typically achieve orient...
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10/17/2011
Anti-sparse coding for approximate nearest neighbor search
This paper proposes a binarization scheme for vectors of high dimension ...
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11/28/2008
