activity
20232025
most citedTricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks

16 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025

PragWorld: A Benchmark Evaluating LLMs' Local World Model under Minimal Linguistic Alterations and Conversational Dynamics

Sachin Vashistha, Aryan Bibhuti, Atharva Naik +2

Real-world conversations are rich with pragmatic elements, such as entity mentions, references, and implicatures. Understanding such nuances is a requirement for successful natural…

cs.CL2025

SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation

Saurabh Kumar Pandey, Sachin Vashistha, Debrup Das +2

To understand the complexity of sequence classification tasks, Hahn et al. (2021) proposed sensitivity as the number of disjoint subsets of the input sequence that can each be indi…

math.CA2024

The Impact of Data Dependence, Convergence and Stability by Iterative Algorithms

Akansha Tyagi, Sachin Vashistha

This article aims to present the algorithm, a novel two-step iterative approach for approximating fixed points of weak contractions within complete normed linear spaces. The a…

math.OC2024

Approximating the common fixed point of enriched interpolative matkowski type mapping in Banach space

Akansha Tyagi, Sachin Vashistha

In the Normed space theory, the existence of fixed points is one of the main tools in improving efficiency of iterative algorithms in optimization, numerical analysis and various m…

cs.CL2023★ 16 cited

Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks

Abhinav Rao, Sachin Vashistha, Atharva Naik +2

Recent explorations with commercial Large Language Models (LLMs) have shown that non-expert users can jailbreak LLMs by simply manipulating their prompts; resulting in degenerate o…