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09/20/2023
Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge
Text-conditioned image generation models have recently achieved astonish...
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08/25/2023
Learning to Intervene on Concept Bottlenecks
While traditional deep learning models often lack interpretability, conc...
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08/24/2023
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal
Some argue scale is all what is needed to achieve AI, covering even caus...
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08/18/2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models
The field of artificial intelligence (AI) has experienced remarkable pro...
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08/18/2023
Vision Relation Transformer for Unbiased Scene Graph Generation
Recent years have seen a growing interest in Scene Graph Generation (SGG...
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07/10/2023
Self Expanding Neural Networks
The results of training a neural network are heavily dependent on the ar...
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06/14/2023
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments
Cognitive science and psychology suggest that object-centric representat...
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06/14/2023
Scalable Neural-Probabilistic Answer Set Programming
The goal of combining the robustness of neural networks and the expressi...
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06/07/2023
ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models
Humor is a central aspect of human communication that has not been solve...
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06/06/2023
Masked Autoencoders are Efficient Continual Federated Learners
Machine learning is typically framed from a perspective of i.i.d., and m...
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06/03/2023
Deep Classifier Mimicry without Data Access
Access to pre-trained models has recently emerged as a standard across n...
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05/28/2023
Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness?
Text-conditioned image generation models have recently achieved astonish...
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05/24/2023
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation
The recent popularity of text-to-image diffusion models (DM) can largely...
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05/22/2023
Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman
In combination with Reinforcement Learning, Monte-Carlo Tree Search has ...
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04/28/2023
Representation Matters: The Game of Chess Poses a Challenge to Vision Transformers
While transformers have gained the reputation as the "Swiss army knife o...
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04/14/2023
One Explanation Does Not Fit XIL
Current machine learning models produce outstanding results in many area...
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03/16/2023
Image Classifiers Leak Sensitive Attributes About Their Classes
Neural network-based image classifiers are powerful tools for computer v...
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02/13/2023
Probabilistic Circuits That Know What They Don't Know
Probabilistic circuits (PCs) are models that allow exact and tractable p...
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02/07/2023
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Generative AI models have recently achieved astonishing results in quali...
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01/28/2023
SEGA: Instructing Diffusion using Semantic Dimensions
Text-to-image diffusion models have recently received a lot of interest ...
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01/19/2023
AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
Generative transformer models have become increasingly complex, with lar...
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12/23/2022
Pearl Causal Hierarchy on Image Data: Intricacies Challenges
Many researchers have voiced their support towards Pearl's counterfactua...
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12/12/2022
The Stable Artist: Steering Semantics in Diffusion Latent Space
Large, text-conditioned generative diffusion models have recently gained...
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11/16/2022
Boosting Object Representation Learning via Motion and Object Continuity
Recent unsupervised multi-object detection models have shown impressive ...
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11/14/2022
Speaking Multiple Languages Affects the Moral Bias of Language Models
Pre-trained multilingual language models (PMLMs) are commonly used when ...
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11/09/2022
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
Text-conditioned image generation models have recently achieved astonish...
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11/04/2022
Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models
While text-to-image synthesis currently enjoys great popularity among re...
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10/19/2022
Revision Transformers: Getting RiT of No-Nos
Current transformer language models (LM) are large-scale models with bil...
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09/19/2022
The Biased Artist: Exploiting Cultural Biases via Homoglyphs in Text-Guided Image Generation Models
Text-guided image generation models, such as DALL-E 2 and Stable Diffusi...
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09/15/2022
CLIPping Privacy: Identity Inference Attacks on Multi-Modal Machine Learning Models
As deep learning is now used in many real-world applications, research h...
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08/24/2022
Transformer-Boosted Anomaly Detection with Fuzzy Hashes
Fuzzy hashes are an important tool in digital forensics and are used in ...
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08/17/2022
ILLUME: Rationalizing Vision-Language Models by Interacting with their Jabber
Bootstrapping from pre-trained language models has been proven to be an ...
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06/24/2022
HANF: Hyperparameter And Neural Architecture Search in Federated Learning
Automated machine learning (AutoML) is an important step to make machine...
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06/14/2022
Attributions Beyond Neural Networks: The Linear Program Case
Linear Programs (LPs) have been one of the building blocks in machine le...
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06/14/2022
Can Foundation Models Talk Causality?
Foundation models are subject to an ongoing heated debate, leaving open ...
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06/14/2022
Towards a Solution to Bongard Problems: A Causal Approach
To date, Bongard Problems (BP) remain one of the few fortresses of AI hi...
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06/14/2022
Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation
Simulations are ubiquitous in machine learning. Especially in graph lear...
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06/14/2022
Machines Explaining Linear Programs
There has been a recent push in making machine learning models more inte...
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05/16/2022
Gradient-based Counterfactual Explanations using Tractable Probabilistic Models
Counterfactual examples are an appealing class of post-hoc explanations ...
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05/03/2022
Adaptable Adapters
State-of-the-art pretrained NLP models contain a hundred million to tril...
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03/29/2022
Finding Structure and Causality in Linear Programs
Linear Programs (LP) are celebrated widely, particularly so in machine l...
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03/18/2022
Do Multilingual Language Models Capture Differing Moral Norms?
Massively multilingual sentence representations are trained on large cor...
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03/04/2022
A Typology to Explore and Guide Explanatory Interactive Machine Learning
Recently, more and more eXplanatory Interactive machine Learning (XIL) m...
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03/02/2022
Neuro-Symbolic Verification of Deep Neural Networks
Formal verification has emerged as a powerful approach to ensure the saf...
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02/14/2022
Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?
Large datasets underlying much of current machine learning raise serious...
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02/01/2022
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement
A key assumption of most statistical machine learning methods is that th...
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01/28/2022
Plug Play Attacks: Towards Robust and Flexible Model Inversion Attacks
Model inversion attacks (MIAs) aim to create synthetic images that refle...
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12/04/2021
Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations
Learning visual concepts from raw images without strong supervision is a...
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11/17/2021
Do Not Trust Prediction Scores for Membership Inference Attacks
Membership inference attacks (MIAs) aim to determine whether a specific ...
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11/12/2021
