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Publications
2024
Multitask Online Learning: Listen to the Neighborhood Buzz Miscellaneous
2024.
σ-zero: Gradient-based Optimization of $ell_0$-norm Adversarial Examples Miscellaneous
2024.
Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing Journal Article
In: Neurocomputing, vol. 563, pp. 126948, 2024, ISSN: 0925-2312.
Provable Preimage Under-Approximation for Neural Networks (Full Version) Miscellaneous
2024.
Fairness Meets Cross-Domain Learning: A Benchmark of Models and Metrics Journal Article
In: IEEE Access, vol. 12, pp. 47854-47867, 2024.
Learning to Generate Training Datasets for Robust Semantic Segmentation Miscellaneous
2024.
On Neuron Activation Pattern and Applications unknown
2024.
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates Miscellaneous
2024.
Is Mamba Capable of In-Context Learning? Miscellaneous
2024.
PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics Miscellaneous
2024.
Provable Preimage Under-Approximation for Neural Networks (Full Version) Miscellaneous
2024.
A Simple Recipe for Language-guided Domain Generalized Segmentation Miscellaneous
2024.
STEP – Towards Structured Scene-Text Spotting Proceedings Article
In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 872-881, 2024.
Living-off-The-Land Reverse-Shell Detection by Informed Data Augmentation Miscellaneous
2024.
Adversarial Causal Bayesian Optimization Proceedings Article
In: The Twelfth International Conference on Learning Representations, 2024.
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations Miscellaneous
2024.
Will You Participate? Exploring the Potential of Robotics Competitions on Human-centric Topics Miscellaneous
2024.
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers Miscellaneous
2024.
Expressivity of ReLU-Networks under Convex Relaxations Proceedings Article
In: The Twelfth International Conference on Learning Representations, 2024.
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? Miscellaneous
2024.
The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations Miscellaneous
2024.
Unsupervised Domain Adaptation within Deep Foundation Latent Spaces Miscellaneous
2024.
Edge Implementation of Unsupervised Self-evolving Vision Classifier Proceedings Article
In: Mart’ınez, José Antonio Iglesias; Baruah, Rashmi Dutta; Kangin, Dimitry; Souza, Paulo Vitor Campos (Ed.): IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2024, Madrid, Spain, May 23-24, 2024, pp. 1–8, IEEE, 2024.
Understanding Certified Training with Interval Bound Propagation Miscellaneous
2024.
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots Miscellaneous
2024.
Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response Book Chapter
In: Lecture Notes in Computer Science, pp. 440–458, Springer Nature Switzerland, 2024, ISSN: 1611-3349.
DoGE: Domain Reweighting with Generalization Estimation Miscellaneous
2024.
Towards Biologically Plausible and Private Gene Expression Data Generation Miscellaneous
2024.
2023
Certifiers Make Neural Networks Vulnerable to Availability Attacks Proceedings Article
In: Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, ACM, 2023.
Lost in translation: the troubling logics underpinning the embrace of governmental machine-learning based prediction tools for ‘citizen scoring’ Conference
Fleur Johns, Gavin Sullivan & Dimitri Van Den Meerssche, eds., Global Governance by Data: Infrastructures of Algorithmic Rule, Forthcoming, available at SSRN: https://ssrn.com/abstract=4651480 or http://dx.doi.org/10.2139/ssrn.4651480, 2023.
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond Journal Article
In: SN Computer Science, vol. 4, no. 6, 2023, ISSN: 2661-8907.
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning Journal Article
In: ACM Comput. Surv., vol. 55, no. 13s, 2023, ISSN: 0360-0300.
Show, Interpret and Tell: Entity-Aware Contextualised Image Captioning in Wikipedia Journal Article
In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 2, pp. 1940-1948, 2023.
Improving Fairness via Intrinsic Plasticity in Echo State Networks Proceedings
Zenodo, 2023.
Optimising for Interpretability: Convolutional Dynamic Alignment Networks Journal Article
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 6, pp. 7625–7638, 2023, ISSN: 1939-3539.
Abstract Interpretation of Fixpoint Iterators with Applications to Neural Networks Journal Article
In: Proc. ACM Program. Lang., vol. 7, no. PLDI, 2023.
STR-Cert: Robustness Certification for Deep Text Recognition on Deep Learning Pipelines and Vision Transformers Miscellaneous
2023.
Multi-task Representation Learning with Stochastic Linear Bandits Miscellaneous
2023.
Multiplication-Free Transformer Training via Piecewise Affine Operations Miscellaneous
2023.
Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images Miscellaneous
2023.
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning Miscellaneous
2023.
On the Informativeness of Supervision Signals Proceedings Article
In: The 39th Conference on Uncertainty in Artificial Intelligence, 2023.
On the Efficacy of Differentially Private Few-shot Image Classification Miscellaneous
2023.
Large Class Separation is Not What You Need for Relational Reasoning-Based OOD Detection Proceedings Article
In: Foresti, Gian Luca; Fusiello, Andrea; Hancock, Edwin (Ed.): Image Analysis and Processing – ICIAP 2023, pp. 295–306, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-43153-1.
Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation Miscellaneous
2023.
The New Public Analytics as an Emerging Paradigm in Public Sector Administration Journal Article
In: Tilburg Law Review, vol. 27, no. 2, pp. 1–32, 2023.
Selective Concept Models: Permitting Stakeholder Customisation at Test-Time Miscellaneous
2023.
Noise-Aware Statistical Inference with Differentially Private Synthetic Data Miscellaneous
2023.
epfLLM Megatron-LLM software
2023.