Program

– Active reward learning from multiple teachers – Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell.
– REVEALE: Reward Verification and Learning Using Explanations – Saaduddin Mahmud, Sandhya Saisubramanian,  Shlomo Zilberstein.
– A Robust Drift Detection Algorithm with High Accuracy and Low False Positives Rate – Maxime Fuccellaro, Laurent Simon, Akka Zemmari.

– Debate Panel – Session Discussants – Papers Authors and Chair

– On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls & Best Practices – Yann Hicke, Salah Ghamizi , Maxime Cordy, Mike Papadakis and Yves Le Traon.
– Towards Multi-timescale Online Monitoring of AI Models: Principles and Preliminary Results – Fateh Kaakai, Paul-Marie Raffi.
– Capabilities for Better ML Engineering – Chenyang Yang, Rachel Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu.

– Debate Panel – Session Discussants: Papers Authors and Chair, Sean McGregor (Responsible AI Collaborative).

– Transfer Assurance for Machine Learning in Autonomous Systems – Chiara Picardi, Richard Hawkins, Colin Paterson, Ibrahim Habli.
– Domain-centric ADAS datasets – Václav Diviš, Tobias Schuster, Marek Hrúz.
– Towards Developing Safety Assurance Cases for Learning-Enabled Medical Cyber-Physical Systems – Maryam Bagheri, Josephine Lamp, Xugui Zhou, Lu Feng, Homa Alemzadeh.

– Debate Panel – Session Discussants – Papers Authors and Chair

– Evaluation of GAN Architectures for Adversarial Robustness of Convolution Classifier – Qusay Mahmoud, Weimin Zhao, Sanaa Alwidian.
– Backdoor Attack Detection in Computer Vision by applying Matrix Factorization on the the Weights of Deep Networks – Khondoker Hossain, Tim Oates.

– Debate Panel – Session Discussants: Papers Authors and Chair

– A taxonomic system for failure cause analysis of open source AI incidents – Sean McGregor, Nikiforos Pittaras.
– Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents – Karsten Roscher, Felippe Schmoeller da Roza, Simon Hadwiger, Ingo Thorn.
– Formal Verification of Tree Ensembles against Real-World Composite Geometric Perturbations – Valency Colaco, Simin Nadjm-Tehrani.

– Debate Panel – Session Discussants – Papers Authors and Chair

– Critically Assessing the State of the Art in CPU-based Local Robustness Verification – Matthias König, Annelot W. Bosman, Holger H. Hoos, Jan N. van Rijn.
– Towards Understanding How Self-training Tolerates Data Backdoor Poisoning – Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu.
– Less is More: Data Pruning for Faster Adversarial Training – Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan Goldhahn
– Personalized Models Resistant to Malicious Attacks for Human-centered Trusted AI – Kamil Kanclerz, Teddy Ferdinan, Jan Kocoń.

– Debate Panel – Session Discussants – Papers Authors and Chair, Khondoker Hossain (UMBC).

– Robustness with Black-Box Adversarial Attack using Reinforcement Learning – Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug.
– White-Box Adversarial Policies in Deep Reinforcement Learning – Stephen Montes Casper, Dylan Hadfield-Menell, Gabriel Kreiman.
– Bab: A novel algorithm for training clean model based on poisoned data – Chen Chen, Haibo Hong, Tao Xiang, Mande Xie, Jun Shao.
– Safe Reinforcement Learning through Phasic Safety-Oriented Policy Optimization – Sumanta Dey, Pallab Dasgupta, Soumyajit Dey

– Debate Panel – Session Discussants – Papers Authors and Chair, Soumyendu Sarkar (Hewlett Packard), Khondoker Hossain (UMBC).

– Out-of-Distribution Detection Using Deep Neural Network Latent Space Uncertainty – Fabio Arnez, Ansgar Radermacher, François Terrier.
– Efficient and Effective Uncertainty Quantification in Gradient Boosting via Cyclical Gradient MCMC – Tian Tan, Carlos Huertas, Qi Zhao.
– Safety Assurance with Ensemble-based Uncertainty Estimation and overlapping alternative Predictions in Reinforcement Learning – Dirk Eilers, Simon Burton, Felippe Schmoeller Roza, Karsten Roscher.

– Debate Panel – Session Discussants: Papers Authors and Chair, Axel Brando (Barcelona Supercomputing Center).

– Towards a holistic approach for AI trustworthiness assessment based upon aids for multi-criteria aggregation – Souhaiel Khalfaoui, Juliette Mattioli, Henri Sohier, Agnès Delaborde, Gabriel Pedroza, Kahina Amokrane-Ferka, Afef Awadid, Zakaria Chihani.
– A Framework Quantifying Trustworthiness of Supervised Machine and Deep Learning Models – Pedro Miguel Sanchez, Alberto Huertas Celdran, Jan Kreischer, Melike Demirci, Joel Leupp, Muriel Figueredo Franco, Gérôme Bovet, Gregorio Martinez Perez, Burkhard Stiller.
– Standardizing the Probabilistic Sources of Uncertainty for the sake of Safety Deep Learning – Axel Brando, Isabel Serra, Enrico Mezzetti, Francisco J. Cazorla, Jaume Abella.

– Debate Panel – Session Discussants: Papers Authors and Chair