10 citations · 18 across the 15 of their papers we have counts for
16 papers
Optimal Lower Bounds for Networked Information Aggregation
Ambar Pal
The problem of networked information aggregation, studied in Kearns et al. (2026), involves a group of learners situated on the vertices of a directed acyclic graph , each learn…
Parameter-Free and Group Conditional Online Conformal Prediction
Beepul Bharti, Ambar Pal, Jacopo Teneggi +1
Uncertainty quantification (UQ) is critical for the deployment of machine learning predictors in real-world scenarios where the data distribution may shift over time (i.e., data ma…
Global Sequential Testing for Multi-Stream Auditing
Beepul Bharti, Ambar Pal, Jeremias Sulam
Across many risk-sensitive areas, it is critical to continuously audit machine learning systems as we receive more data to quickly determine if they are performing as designed. Thi…
Identifying Physically Realizable Triggers for Backdoored Face Recognition Networks
Ankita Raj, Ambar Pal, Chetan Arora
Backdoor attacks embed a hidden functionality into deep neural networks, causing the network to display anomalous behavior when activated by a predetermined pattern in the input Tr…
Disentangling Safe and Unsafe Corruptions via Anisotropy and Locality
Ramchandran Muthukumar, Ambar Pal, Jeremias Sulam +1
State-of-the-art machine learning systems are vulnerable to small perturbations to their input, where ``small'' is defined according to a threat model that assigns a positive threa…
A fast algorithm for computing a planar support for non-piercing rectangles
Ambar Pal, Rajiv Raman, Saurabh Ray +1
For a hypergraph a \emph{support} is a graph on such that for each , the induced subgraph of on the elements in is co…
Certified Robustness against Sparse Adversarial Perturbations via Data Localization
Ambar Pal, René Vidal, Jeremias Sulam
Recent work in adversarial robustness suggests that natural data distributions are localized, i.e., they place high probability in small volume regions of the input space, and that…
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
Ambar Pal, Jeremias Sulam, René Vidal
The susceptibility of modern machine learning classifiers to adversarial examples has motivated theoretical results suggesting that these might be unavoidable. However, these resul…
Understanding Noise-Augmented Training for Randomized Smoothing
Ambar Pal, Jeremias Sulam
Randomized smoothing is a technique for providing provable robustness guarantees against adversarial attacks while making minimal assumptions about a classifier. This method relies…
On Utilizing Relationships for Transferable Few-Shot Fine-Grained Object Detection
Ambar Pal, Arnau Ramisa, Amit Kumar K C +1
State-of-the-art object detectors are fast and accurate, but they require a large amount of well annotated training data to obtain good performance. However, obtaining a large amou…
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses
Ambar Pal, René Vidal
Research in adversarial learning follows a cat and mouse game between attackers and defenders where attacks are proposed, they are mitigated by new defenses, and subsequently new a…
On the Regularization Properties of Structured Dropout
Ambar Pal, Connor Lane, René Vidal +1
Dropout and its extensions (eg. DropBlock and DropConnect) are popular heuristics for training neural networks, which have been shown to improve generalization performance in pract…
An Empirical Evaluation of Visual Question Answering for Novel Objects
Santhosh K. Ramakrishnan, Ambar Pal, Gaurav Sharma +1
We study the problem of answering questions about images in the harder setting, where the test questions and corresponding images contain novel objects, which were not queried abou…
The Internet of Things: Perspectives on Security from RFID and WSN
Ayush Shah, Ambar Pal, H. B. Acharya
A massive current research effort focuses on combining pre-existing 'Intranets' of Things into one Internet of Things. However, this unification is not a panacea; it will expose ne…
Rules in Play: On the Complexity of Routing Tables and Firewalls
Mohit Wadhwa, Ambar Pal, Ayush Shah +2
A fundamental component of networking infras- tructure is the policy, used in routing tables and firewalls. Accordingly, there has been extensive study of policies. However, the th…
Cells in the Internet of Things
Ayush Shah, H. B. Acharya, Ambar Pal
The Internet of Things combines various earlier areas of research. As a result, research on the subject is still organized around these pre-existing areas: distributed computing wi…