• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 29 matches

• 2023
• 
  Maryam Bagheri, Josephine Lamp, Xugui Zhou, Lu Feng, Homa Alemzadeh:
  Towards Developing Safety Assurance Cases for Learning-Enabled Medical Cyber-Physical Systems. SafeAI@AAAI 2023
• 
  Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu:
  Capabilities for Better ML Engineering. SafeAI@AAAI 2023
• 
  Fabio Arnez, Ansgar Radermacher, François Terrier:
  Out-of-Distribution Detection Using Deep Neural Network Latent Space Uncertainty. SafeAI@AAAI 2023
• 
  Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell:
  Active Reward Learning from Multiple Teachers. SafeAI@AAAI 2023
• 
  Axel Brando, Isabel Serra, Enrico Mezzetti, Francisco J. Cazorla, Jaume Abella:
  Standardizing the Probabilistic Sources of Uncertainty for the sake of Safety Deep Learning. SafeAI@AAAI 2023
• 
  Stephen Casper, Dylan Hadfield-Menell, Gabriel Kreiman:
  White-Box Adversarial Policies in Deep Reinforcement Learning. SafeAI@AAAI 2023
• 
  Alberto Huertas Celdrán, Jan Kreischer, Melike Demirci, Joel Leupp, Pedro Miguel Sánchez Sánchez, Muriel Figueredo Franco, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
  A Framework Quantifying Trustworthiness of Supervised Machine and Deep Learning Models. SafeAI@AAAI 2023
• 
  Chen Chen, Haibo Hong, Mande Xie, Jun Shao, Tao Xiang:
  Bab: A novel algorithm for training clean model based on poisoned data. SafeAI@AAAI 2023
• 
  Valency Oscar Colaco, Simin Nadjm-Tehrani:
  Formal Verification of Tree Ensembles against Real-World Composite Geometric Perturbations. SafeAI@AAAI 2023
• 
  Sumanta Dey, Pallab Dasgupta, Soumyajit Dey:
  Safe Reinforcement Learning through Phasic Safety-Oriented Policy Optimization. SafeAI@AAAI 2023
• 
  Václav Divis, Tobias Schuster, Marek Hrúz:
  Domain-centric ADAS Datasets. SafeAI@AAAI 2023
• 
  Dirk Eilers, Simon Burton, Felippe Schmoeller da Roza, Karsten Roscher:
  Safety Assurance with Ensemble-based Uncertainty Estimation and overlapping alternative Predictions in Reinforcement Learning. SafeAI@AAAI 2023
• 
  Teddy Ferdinan, Jan Kocon:
  Personalized Models Resistant to Malicious Attacks for Human-centered Trusted AI. SafeAI@AAAI 2023
• 
  Maxime Fuccellaro, Laurent Simon, Akka Zemmari:
  A Robust Drift Detection Algorithm with High Accuracy and Low False Positives Rate. SafeAI@AAAI 2023
• 
  Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
  On Evaluating Adversarial Robustness of Chest X-ray Classification. SafeAI@AAAI 2023
• 
  Khondoker Murad Hossain, Tim Oates:
  Backdoor Attack Detection in Computer Vision by Applying Matrix Factorization on the Weights of Deep Networks. SafeAI@AAAI 2023
• 
  Fateh Kaakai, Paul-Marie Raffi:
  Towards Multi-timescale Online Monitoring of AI Models. SafeAI@AAAI 2023
• 
  Matthias König, Annelot W. Bosman, Holger H. Hoos, Jan N. van Rijn:
  Critically Assessing the State of the Art in CPU-based Local Robustness Verification. SafeAI@AAAI 2023
• 
  Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn:
  Less is More: Data Pruning for Faster Adversarial Training. SafeAI@AAAI 2023
• 
  Saaduddin Mahmud, Sandhya Saisubramanian, Shlomo Zilberstein:
  REVEALE: Reward Verification and Learning Using Explanations. SafeAI@AAAI 2023
• 
  Juliette Mattioli, Henri Sohier, Agnès Delaborde, Gabriel Pedroza, Kahina Amokrane-Ferka, Afef Awadid, Zakaria Chihani, Souhaiel Khalfaoui:
  Towards a holistic approach for AI trustworthiness assessment based upon aids for multi-criteria aggregation. SafeAI@AAAI 2023
• 
  Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu:
  Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. SafeAI@AAAI 2023
• 
  Chiara Picardi, Richard Hawkins, Colin Paterson, Ibrahim Habli:
  Transfer Assurance for Machine Learning in Autonomous Systems. SafeAI@AAAI 2023
• 
  Nikiforos Pittaras, Sean McGregor:
  A Taxonomic System for Failure Cause Analysis of Open Source AI Incidents. SafeAI@AAAI 2023
• 
  Felippe Schmoeller Roza, Simon Hadwiger, Ingo Thon, Karsten Roscher:
  Towards Safety Assurance of Uncertainty-Aware Reinforcement Learning Agents. SafeAI@AAAI 2023
• 
  Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug:
  Robustness with Black-Box Adversarial Attack using Reinforcement Learning. SafeAI@AAAI 2023
• 
  Tian Tan, Carlos Huertas, Qi Zhao:
  Efficient and Effective Uncertainty Quantification in Gradient Boosting via Cyclical Gradient MCMC. SafeAI@AAAI 2023
• 
  Weimin Zhao, Sanaa A. Alwidian, Qusay H. Mahmoud:
  Evaluation of GAN Architectures for Adversarial Robustness of Convolution Classifier. SafeAI@AAAI 2023
• 
  Gabriel Pedroza, Xiaowei Huang, Xin Cynthia Chen, Andreas Theodorou, José Hernández-Orallo, Mauricio Castillo-Effen, Richard Mallah, John A. McDermid:
  Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), Washington DC, USA, February 13-14, 2023. CEUR Workshop Proceedings 3381, CEUR-WS.org 2023 [contents]