Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning. - Ananth Balashankar; Xiao Ma 010; Aradhana Sinha; Ahmad Beirami; Yao Qin 001; Jilin Chen; Alex Beutel (CoRR, 2023)

Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images. - Hansa Srinivasan; Candice Schumann; Aradhana Sinha; David Madras; Gbolahan Oluwafemi Olanubi; Alex Beutel; Susanna Ricco; Jilin Chen (FAccT, 2024)

Automated Adversarial Discovery for Safety Classifiers. - Yash Kumar Lal; Preethi Lahoti; Aradhana Sinha; Yao Qin 001; Ananth Balashankar (CoRR, 2024)

InfAlign: Inference-aware language model alignment. - Ananth Balashankar; Ziteng Sun; Jonathan Berant; Jacob Eisenstein; Michael Collins 001; Adrian Hutter; Jong Lee; Chirag Nagpal; Flavien Prost; Aradhana Sinha; Ananda Theertha Suresh; Ahmad Beirami (CoRR, 2024)

Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks. - Aradhana Sinha; Ananth Balashankar; Ahmad Beirami; Thi Avrahami; Jilin Chen; Alex Beutel (Trans. Mach. Learn. Res., 2024)

The Singapore Consensus on Global AI Safety Research Priorities. - Yoshua Bengio; Tegan Maharaj; Luke Ong; Stuart Russell 001; Dawn Song; Max Tegmark; Lan Xue; Ya-Qin Zhang; Stephen Casper; Wan Sie Lee; Sören Mindermann; Vanessa Wilfred; et al. (CoRR, 2025)