Zayd Hammoudeh

18 papers A* 3A 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2024 A* conf
Provable Robustness against a Union of L_0 Adversarial Attacks.
AAAI
Zayd Hammoudeh, Daniel Lowd
2024 J jnl
Training data influence analysis and estimation: a survey.
Mach. Learn.
Zayd Hammoudeh, Daniel Lowd
2023 J jnl
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees.
J. Mach. Learn. Res.
Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd
2023 J jnl
Feature Partition Aggregation: A Fast Certified Defense Against a Union of Sparse Adversarial Attacks.
CoRR
Zayd Hammoudeh, Daniel Lowd
2023 — conf
Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers.
EMNLP (Findings)
Wencong You, Zayd Hammoudeh, Daniel Lowd
2023 J jnl
Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers.
CoRR
Wencong You, Zayd Hammoudeh, Daniel Lowd
2023 — conf
Reducing Certified Regression to Certified Classification for General Poisoning Attacks.
SaTML
Zayd Hammoudeh, Daniel Lowd
2022 J jnl
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees.
CoRR
Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd
2022 A* conf
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation.
CCS
Zayd Hammoudeh, Daniel Lowd
2022 J jnl
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation.
CoRR
Zayd Hammoudeh, Daniel Lowd
2022 J jnl
Reducing Certified Regression to Certified Classification.
CoRR
Zayd Hammoudeh, Daniel Lowd
2022 J jnl
Training Data Influence Analysis and Estimation: A Survey.
CoRR
Zayd Hammoudeh, Daniel Lowd
2021 — conf
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations.
BlackboxNLP@EMNLP
Zhouhang Xie, Jonathan Brophy, Adam Noack, Wencong You, Kalyani Asthana, Carter Perkins, Sabrina Reis, Zayd Hammoudeh, Daniel Lowd, Sameer Singh
2020 A* conf
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift.
NeurIPS
Zayd Hammoudeh, Daniel Lowd
2020 J jnl
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift.
CoRR
Zayd Hammoudeh, Daniel Lowd
2020 — conf
On the Practicality of Learning Models for Network Telemetry.
TMA
Soheil Jamshidi, Zayd Hammoudeh, Ramakrishnan Durairajan, Daniel Lowd, Reza Rejaie, Walter Willinger
2018 A conf
Fast and Flexible Probabilistic Model Counting.
SAT
Dimitris Achlioptas, Zayd Hammoudeh, Panos Theodoropoulos
2017 — conf
Clustering-Based, Fully Automated Mixed-Bag Jigsaw Puzzle Solving.
CAIP (2)
Zayd Hammoudeh, Chris Pollett