b'Mario Fritz'

research

∙ 09/12/2023

Certified Robust Models with Slack Control and Large Lipschitz Constants

Despite recent success, state-of-the-art learning-based models remain hi...

0 Max Losch, et al. ∙

research

∙ 08/02/2023

A Large-Scale Study of Phishing PDF Documents

Phishing PDFs are malicious PDF documents that do not embed malware but ...

0 Giada Stivala, et al. ∙

research

∙ 07/16/2023

MargCTGAN: A "Marginally” Better CTGAN for the Low Sample Regime

The potential of realistic and useful synthetic data is significant. How...

0 Tejumade Afonja, et al. ∙

research

∙ 06/19/2023

B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers

We present a new direction for increasing the interpretability of deep n...

0 Moritz Böhle, et al. ∙

research

∙ 06/08/2023

From Bad to Worse: Using Private Data to Propagate Disinformation on Online Platforms with a Greater Efficiency

We outline a planned experiment to investigate if personal data (e.g., d...

0 Protik Bose Pranto, et al. ∙

research

∙ 05/24/2023

Private and Collaborative Kaplan-Meier Estimators

Kaplan-Meier estimators capture the survival behavior of a cohort. They ...

0 Shadi Rahimian, et al. ∙

research

∙ 03/07/2023

Client-specific Property Inference against Secure Aggregation in Federated Learning

Federated learning has become a widely used paradigm for collaboratively...

0 Raouf Kerkouche, et al. ∙

research

∙ 02/23/2023

More than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models

We are currently witnessing dramatic advances in the capabilities of Lar...

0 Kai Greshake, et al. ∙

research

∙ 02/15/2023

Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy

In recent years, diffusion models have achieved tremendous success in th...

0 Derui Zhu, et al. ∙

research

∙ 02/08/2023

Systematically Finding Security Vulnerabilities in Black-Box Code Generation Models

Recently, large language models for code generation have achieved breakt...

0 Hossein Hajipour, et al. ∙

research

∙ 02/02/2023

Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy

This work proposes Fed-GLOSS-DP, a novel approach to privacy-preserving ...

0 Hui-Po Wang, et al. ∙

research

∙ 01/20/2023

Holistically Explainable Vision Transformers

Transformers increasingly dominate the machine learning landscape across...

0 Moritz Böhle, et al. ∙

research

∙ 11/07/2022

Private Set Generation with Discriminative Information

Differentially private data generation techniques have become a promisin...

0 Dingfan Chen, et al. ∙

research

∙ 10/10/2022

SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models

While large code datasets have become available in recent years, acquiri...

0 Hossein Hajipour, et al. ∙

research

∙ 09/07/2022

Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems

Mis- and disinformation are now a substantial global threat to our secur...

0 Sahar Abdelnabi, et al. ∙

research

∙ 07/12/2022

RelaxLoss: Defending Membership Inference Attacks without Losing Utility

As a long-term threat to the privacy of training data, membership infere...

0 Dingfan Chen, et al. ∙

research

∙ 05/20/2022

B-cos Networks: Alignment is All We Need for Interpretability

We present a new direction for increasing the interpretability of deep n...

0 Moritz Böhle, et al. ∙

research

∙ 02/08/2022

Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data

Survival analysis or time-to-event analysis aims to model and predict th...

4 Shadi Rahimian, et al. ∙

research

∙ 11/30/2021

Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources

Misinformation is now a major problem due to its potential high risks to...

0 Sahar Abdelnabi, et al. ∙

research

∙ 10/11/2021

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training

Federated learning is a powerful distributed learning scheme that allows...

0 Hui-Po Wang, et al. ∙

research

∙ 09/27/2021

Optimising for Interpretability: Convolutional Dynamic Alignment Networks

We introduce a new family of neural network models called Convolutional ...

0 Moritz Böhle, et al. ∙

research

∙ 08/25/2021

Backdoor Attacks on Network Certification via Data Poisoning

Certifiers for neural networks have made great progress towards provable...

0 Tobias Lorenz, et al. ∙

research

∙ 06/22/2021

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers

Accurate prediction of pedestrian and bicyclist paths is integral to the...

0 Apratim Bhattacharyya, et al. ∙

research

∙ 05/29/2021

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

The rapid advances in deep generative models over the past years have le...

0 Yang He, et al. ∙

research

∙ 03/31/2021

Convolutional Dynamic Alignment Networks for Interpretable Classifications

We introduce a new family of neural network models called Convolutional ...

17 Moritz Böhle, et al. ∙

research

∙ 02/09/2021

"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models

Machine learning models are now widely deployed in real-world applicatio...

0 Sahar Abdelnabi, et al. ∙

research

∙ 02/04/2021

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

Inference attacks against Machine Learning (ML) models allow adversaries...

0 Yugeng Liu, et al. ∙

research

∙ 12/16/2020

Responsible Disclosure of Generative Models Using Scalable Fingerprinting

Over the past six years, deep generative models have achieved a qualitat...

0 Ning Yu, et al. ∙

research

∙ 12/15/2020

CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning

Federated learning facilitates learning across clients without transferr...

0 Yang He, et al. ∙

research

∙ 11/28/2020

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs

While Generative Adversarial Networks (GANs) show increasing performance...

0 Hui-Po Wang, et al. ∙

research

∙ 09/21/2020

Haar Wavelet based Block Autoregressive Flows for Trajectories

Prediction of trajectories such as that of pedestrians is crucial to the...

4 Apratim Bhattacharyya, et al. ∙

research

∙ 09/18/2020

Synthetic Convolutional Features for Improved Semantic Segmentation

Recently, learning-based image synthesis has enabled to generate high-re...

0 Yang He, et al. ∙

research

∙ 09/07/2020

Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding

Recent advances in natural language generation have introduced powerful ...

0 Sahar Abdelnabi, et al. ∙

research

∙ 09/01/2020

Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries

Machine learning models have been shown to leak information violating th...

0 Shadi Rahimian, et al. ∙

research

∙ 07/16/2020

Artificial GAN Fingerprints: Rooting Deepfake Attribution in Training Data

Photorealistic image generation is progressing rapidly and has reached a...

5 Ning Yu, et al. ∙

research

∙ 06/18/2020

IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis

In this work, we investigate the problem of revealing the functionality ...

0 Hossein Hajipour, et al. ∙

research

∙ 06/15/2020

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators

The wide-spread availability of rich data has fueled the growth of machi...

0 Dingfan Chen, et al. ∙

research

∙ 05/20/2020

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation

Personal photos of individuals when shared online, apart from exhibiting...

0 Hui-Po Wang, et al. ∙

research

∙ 04/08/2020

Normalizing Flows with Multi-Scale Autoregressive Priors

Flow-based generative models are an important class of exact inference m...

3 Shweta Mahajan, et al. ∙

research

∙ 04/07/2020

Long-Tailed Recognition Using Class-Balanced Experts

Classic deep learning methods achieve impressive results in image recogn...

5 Saurabh Sharma, et al. ∙

research

∙ 04/07/2020

Inclusive GAN: Improving Data and Minority Coverage in Generative Models

Generative Adversarial Networks (GANs) have brought about rapid progress...

5 Ning Yu, et al. ∙

research

∙ 12/20/2019

Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation

Today's success of state of the art methods for semantic segmentation is...

0 Yang He, et al. ∙

research

∙ 12/16/2019

Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing

Despite significant success in Visual Question Answering (VQA), VQA mode...

14 Vedika Agarwal, et al. ∙

research

∙ 09/27/2019

"Best-of-Many-Samples" Distribution Matching

Generative Adversarial Networks (GANs) can achieve state-of-the-art samp...

17 Apratim Bhattacharyya, et al. ∙

research

∙ 09/09/2019

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs

In recent years, the success of deep learning has carried over from disc...

13 Dingfan Chen, et al. ∙

research

∙ 09/01/2019

WhiteNet: Phishing Website Detection by Visual Whitelists

Phishing websites aiming at stealing users' information by claiming fake...

6 Sahar Abdelnabi, et al. ∙

research

∙ 08/24/2019

Conditional Flow Variational Autoencoders for Structured Sequence Prediction

Prediction of future states of the environment and interacting agents is...

22 Apratim Bhattacharyya, et al. ∙

research

∙ 07/25/2019

Interpretability Beyond Classification Output: Semantic Bottleneck Networks

Today's deep learning systems deliver high performance based on end-to-e...

17 Max Losch, et al. ∙

research

∙ 06/26/2019

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks

With the advances of ML models in recent years, we are seeing an increas...

0 Tribhuvanesh Orekondy, et al. ∙

research

∙ 06/24/2019

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes

Automatic program correction is an active topic of research, which holds...

3 Hossein Hajipour, et al. ∙

Mario Fritz

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