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- 2025
- The Ultimate Cookbook for Invisible Poison: Crafting Subtle Clean-Label Text Backdoors with Style Attributes. . SaTML 2025DOI
- On the Practicality of Differential Privacy for Knowledge Tracing. . 18th International Conference on Educational Data Mining, EDM 2025, Palermo, Italy, July 20-23, 2025Publisher
- 2024
- Training data influence analysis and estimation: a survey. . Machine Learning 2024DOI
- Provable Robustness against a Union of L 0 Adversarial Attacks. . AAAI 2024DOI
- MaPPing Your Model: Assessing the Impact of Adversarial Attacks on LLM-based Programming Assistants. . CoRR 2024DOI
- 2023
- Reducing Certified Regression to Certified Classification for General Poisoning Attacks. . SaTML 2023PDF·DOI
- Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers. . EMNLP Findings 2023DOI
- Feature Partition Aggregation: A Fast Certified Defense Against a Union of Sparse Adversarial Attacks. . CoRR 2023DOI
- Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees. . JMLR 2023PDF·Publisher
- 2022
- TCAB: A Large-Scale Text Classification Attack Benchmark. . CoRR 2022DOI
- Reducing Certified Regression to Certified Classification. . CoRR 2022DOI
- Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees. . NeurIPS 2022PDF·Publisher
- Identifying Adversarial Attacks on Text Classifiers. . CoRR 2022PDF·arXiv
- Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation. . CCS 2022PDF·DOI
- 2021
- What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations. . EMNLP 2021DOI
- Machine Unlearning for Random Forests. . ICML 2021PDF·Publisher
- 2020
- TREX: Tree-Ensemble Representer-Point Explanations. . CoRR 2020PDF·arXiv
- On the Practicality of Learning Models for Network Telemetry. . TMA 2020PDF
- Learning from Positive and Unlabeled Data with Arbitrary Positive Shift. . NeurIPS 2020PDF·Publisher
- EGGS: A Flexible Approach to Relational Modeling of Social Network Spam. . CoRR 2020PDF·arXiv
- DART: Data Addition and Removal Trees. . CoRR 2020PDF·arXiv
- 2019
- Unifying logical and statistical AI with Markov logic. . CACM 2019PDF·DOI
- 2018
- On Adversarial Examples for Character-Level Neural Machine Translation. . COLING 2018PDF·Publisher
- HotFlip: White-Box Adversarial Examples for Text Classification. . ACL 2018PDF·Publisher·DOI
- 2017
- Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. . CoRR 2017PDF·arXiv
- HotFlip: White-Box Adversarial Examples for NLP. . CoRR 2017PDF·arXiv
- Collective Classification of Social Network Spam. . AAAI 2017PDF·Publisher
- A Temporal Attentional Model for Rumor Stance Classification. . CIKM 2017PDF·DOI
- 2016
- Weakly Supervised Tweet Stance Classification by Relational Bootstrapping. . EMNLP 2016PDF·DOI
- Unifying Logical and Statistical AI. . LICS 2016DOI
- Ontology-Based Deep Restricted Boltzmann Machine. . DEXA 2016PDF·DOI
- Ontology Matching with Knowledge Rules. . Trans. Large Scale Data Knowl. Centered Syst. 2016PDF·DOI
- Discriminative Structure Learning of Arithmetic Circuits. . AAAI 2016PDF·DOI
- A Probabilistic Approach to Knowledge Translation. . AAAI 2016PDF·DOI
- A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets. . COLING 2016PDF·Publisher
- 2015
- The Libra toolkit for probabilistic models. . JMLR 2015Publisher·DOI
- Automated Attacks on Compression-Based Classifiers. . 8th ACM Workshop on Artificial Intelligence and Security, AISec 2015, Denver, Colorado, USA, October 16, 2015PDF·DOI
- 2014
- Towards Adversarial Reasoning in Statistical Relational Domains. . AAAI 2014PDF·Publisher
- On Robustness and Regularization of Structural Support Vector Machines. . ICML 2014PDF·Publisher
- Leveraging USB to Establish Host Identity Using Commodity Devices. . NDSS 2014PDF·Publisher
- Learning Sum-Product Networks with Direct and Indirect Variable Interactions. . ICML 2014Publisher
- Inferring coarse views of connectivity in very large graphs. . COSN 2014PDF·DOI
- Improving Markov network structure learning using decision trees. . JMLR 2014PDF·Publisher·DOI
- 2013
- On the hardness of evading combinations of linear classifiers. . CCS 2013PDF·DOI
- Learning Tractable Graphical Models Using Mixture of Arithmetic Circuits. . Late-Breaking Developments in the Field of Artificial Intelligence, Bellevue, Washington, USA, July 14-18, 2013Publisher
- Learning Markov Networks With Arithmetic Circuits. . AISTATS 2013PDF·Publisher
- Convex Adversarial Collective Classification. . ICML 2013PDF·Publisher
- 2012
- Using Markov Logic to Refine an Automatically Extracted Knowledge Base. . UAI 2012PDF
- Learning to Refine an Automatically Extracted Knowledge Base Using Markov Logic. . ICDM 2012PDF·DOI
- Closed-Form Learning of Markov Networks from Dependency Networks. . Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, Catalina Island, CA, USA, August 14-18, 2012PDF·Publisher
- 2011
- Mean Field Inference in Dependency Networks: An Empirical Study. . AAAI 2011PDF·DOI
- 2010
- Learning Markov Network Structure with Decision Trees. . ICDM 2010PDF·DOI
- Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models. . AAAI 2010PDF·Publisher
- Approximate Inference by Compilation to Arithmetic Circuits. . NeurIPS 2010PDF·Publisher
- 2009
- Using salience to segment desktop activity into projects. . IUI 2009PDF·DOI
- 2008
- Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. . Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008. ProceedingsDOI
- Learning Arithmetic Circuits. . UAI 2008PDF·Publisher·arXiv
- Just Add Weights: Markov Logic for the Semantic Web. . Uncertainty Reasoning for the Semantic Web I, ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers 2008PDF·DOI
- 2007
- Recursive Random Fields. . IJCAI 2007PDF
- Efficient Weight Learning for Markov Logic Networks. . ECML PKDD 2007PDF·DOI
- 2005
- Naive Bayes models for probability estimation. . ICML 2005PDF·DOI
- Good Word Attacks on Statistical Spam Filters. . CEAS 2005 - Second Conference on Email and Anti-Spam, July 21-22, 2005, Stanford University, California, USAPDF
- Adversarial learning. . Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005PDF·DOI