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Provable adversarial robustness at ImageNet scale
[ICLR 2026] - Official implementation of "Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency"
Official PyTorch implementation of the WACV 2025 Oral paper "Composed Image Retrieval for Training-FREE DOMain Conversion".
[NeurIPS 2025] Official implementation of "Instance-Level Composed Image Retrieval".
[NeurIPS'25 Spotlight] Boosting Generative Image Modeling via Joint Image-Feature Synthesis
RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
[ICML'25] EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
The simplest, fastest repository for training/finetuning medium-sized GPTs.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Pretrained TorchVision models on CIFAR10 dataset (with weights)
Efficient solution to the classic readers-writers problem by allowing fine-grained control over access to shared resources.
Implementation of a voting system using a linear hash table and a doubly linked list.
Multithreaded job execution server with a client interface.
A multithreaded application, offering a web-server that carries out certain requests from client processes in a client-server scheme. Used sockets and POSIX threads. Second assignment for the cours…
💻 💡 Bachelor's Thesis on Adversarial Machine Learning Attacks and Defences
An adversarial example library for constructing attacks, building defenses, and benchmarking both
The first three individual assignments for the course: Operating Systems of the DIT NKUA, Fall 2023.
A full stack implementation of a room booking application using Spring Boot and React
A challenge to explore adversarial robustness of neural networks on MNIST.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A playbook for systematically maximizing the performance of deep learning models.
Official website of DIT's Introduction to Programming class
Inter Process Communication between multiple clients and server to read/write in/from a buffer
Pacman AI Projects 1,2,3 - UC Berkeley